diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 9a2d1ae..4e704f3 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 177,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,6 +25,13 @@
     "import pandas as pd"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -38,12 +45,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 178,
    "metadata": {},
    "outputs": [],
    "source": [
     "# loading the data:\n",
-    "customers = pd.read_csv('../Wholesale customers data.csv')"
+    "customers = pd.read_csv('/Users/arthurspriet/Desktop/Lab week 7 /lab-unsupervised-learning/Wholesale customers data.csv')"
    ]
   },
   {
@@ -67,11 +74,521 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 179,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12669</td>\n",
+       "      <td>9656</td>\n",
+       "      <td>7561</td>\n",
+       "      <td>214</td>\n",
+       "      <td>2674</td>\n",
+       "      <td>1338</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7057</td>\n",
+       "      <td>9810</td>\n",
+       "      <td>9568</td>\n",
+       "      <td>1762</td>\n",
+       "      <td>3293</td>\n",
+       "      <td>1776</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6353</td>\n",
+       "      <td>8808</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>2405</td>\n",
+       "      <td>3516</td>\n",
+       "      <td>7844</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13265</td>\n",
+       "      <td>1196</td>\n",
+       "      <td>4221</td>\n",
+       "      <td>6404</td>\n",
+       "      <td>507</td>\n",
+       "      <td>1788</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22615</td>\n",
+       "      <td>5410</td>\n",
+       "      <td>7198</td>\n",
+       "      <td>3915</td>\n",
+       "      <td>1777</td>\n",
+       "      <td>5185</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Channel  Region  Fresh  Milk  Grocery  Frozen  Detergents_Paper  Delicassen\n",
+       "0        2       3  12669  9656     7561     214              2674        1338\n",
+       "1        2       3   7057  9810     9568    1762              3293        1776\n",
+       "2        2       3   6353  8808     7684    2405              3516        7844\n",
+       "3        1       3  13265  1196     4221    6404               507        1788\n",
+       "4        2       3  22615  5410     7198    3915              1777        5185"
+      ]
+     },
+     "execution_count": 179,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Channel             0\n",
+       "Region              0\n",
+       "Fresh               0\n",
+       "Milk                0\n",
+       "Grocery             0\n",
+       "Frozen              0\n",
+       "Detergents_Paper    0\n",
+       "Delicassen          0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 180,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Channel             int64\n",
+       "Region              int64\n",
+       "Fresh               int64\n",
+       "Milk                int64\n",
+       "Grocery             int64\n",
+       "Frozen              int64\n",
+       "Detergents_Paper    int64\n",
+       "Delicassen          int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 181,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Channel</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.062028</td>\n",
+       "      <td>-0.169172</td>\n",
+       "      <td>0.460720</td>\n",
+       "      <td>0.608792</td>\n",
+       "      <td>-0.202046</td>\n",
+       "      <td>0.636026</td>\n",
+       "      <td>0.056011</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Region</th>\n",
+       "      <td>0.062028</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.055287</td>\n",
+       "      <td>0.032288</td>\n",
+       "      <td>0.007696</td>\n",
+       "      <td>-0.021044</td>\n",
+       "      <td>-0.001483</td>\n",
+       "      <td>0.045212</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Fresh</th>\n",
+       "      <td>-0.169172</td>\n",
+       "      <td>0.055287</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.100510</td>\n",
+       "      <td>-0.011854</td>\n",
+       "      <td>0.345881</td>\n",
+       "      <td>-0.101953</td>\n",
+       "      <td>0.244690</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Milk</th>\n",
+       "      <td>0.460720</td>\n",
+       "      <td>0.032288</td>\n",
+       "      <td>0.100510</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.728335</td>\n",
+       "      <td>0.123994</td>\n",
+       "      <td>0.661816</td>\n",
+       "      <td>0.406368</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Grocery</th>\n",
+       "      <td>0.608792</td>\n",
+       "      <td>0.007696</td>\n",
+       "      <td>-0.011854</td>\n",
+       "      <td>0.728335</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.040193</td>\n",
+       "      <td>0.924641</td>\n",
+       "      <td>0.205497</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Frozen</th>\n",
+       "      <td>-0.202046</td>\n",
+       "      <td>-0.021044</td>\n",
+       "      <td>0.345881</td>\n",
+       "      <td>0.123994</td>\n",
+       "      <td>-0.040193</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.131525</td>\n",
+       "      <td>0.390947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <td>0.636026</td>\n",
+       "      <td>-0.001483</td>\n",
+       "      <td>-0.101953</td>\n",
+       "      <td>0.661816</td>\n",
+       "      <td>0.924641</td>\n",
+       "      <td>-0.131525</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.069291</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Delicassen</th>\n",
+       "      <td>0.056011</td>\n",
+       "      <td>0.045212</td>\n",
+       "      <td>0.244690</td>\n",
+       "      <td>0.406368</td>\n",
+       "      <td>0.205497</td>\n",
+       "      <td>0.390947</td>\n",
+       "      <td>0.069291</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Channel    Region     Fresh      Milk   Grocery    Frozen  \\\n",
+       "Channel           1.000000  0.062028 -0.169172  0.460720  0.608792 -0.202046   \n",
+       "Region            0.062028  1.000000  0.055287  0.032288  0.007696 -0.021044   \n",
+       "Fresh            -0.169172  0.055287  1.000000  0.100510 -0.011854  0.345881   \n",
+       "Milk              0.460720  0.032288  0.100510  1.000000  0.728335  0.123994   \n",
+       "Grocery           0.608792  0.007696 -0.011854  0.728335  1.000000 -0.040193   \n",
+       "Frozen           -0.202046 -0.021044  0.345881  0.123994 -0.040193  1.000000   \n",
+       "Detergents_Paper  0.636026 -0.001483 -0.101953  0.661816  0.924641 -0.131525   \n",
+       "Delicassen        0.056011  0.045212  0.244690  0.406368  0.205497  0.390947   \n",
+       "\n",
+       "                  Detergents_Paper  Delicassen  \n",
+       "Channel                   0.636026    0.056011  \n",
+       "Region                   -0.001483    0.045212  \n",
+       "Fresh                    -0.101953    0.244690  \n",
+       "Milk                      0.661816    0.406368  \n",
+       "Grocery                   0.924641    0.205497  \n",
+       "Frozen                   -0.131525    0.390947  \n",
+       "Detergents_Paper          1.000000    0.069291  \n",
+       "Delicassen                0.069291    1.000000  "
+      ]
+     },
+     "execution_count": 182,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.322727</td>\n",
+       "      <td>2.543182</td>\n",
+       "      <td>12000.297727</td>\n",
+       "      <td>5796.265909</td>\n",
+       "      <td>7951.277273</td>\n",
+       "      <td>3071.931818</td>\n",
+       "      <td>2881.493182</td>\n",
+       "      <td>1524.870455</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.468052</td>\n",
+       "      <td>0.774272</td>\n",
+       "      <td>12647.328865</td>\n",
+       "      <td>7380.377175</td>\n",
+       "      <td>9503.162829</td>\n",
+       "      <td>4854.673333</td>\n",
+       "      <td>4767.854448</td>\n",
+       "      <td>2820.105937</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>55.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3127.750000</td>\n",
+       "      <td>1533.000000</td>\n",
+       "      <td>2153.000000</td>\n",
+       "      <td>742.250000</td>\n",
+       "      <td>256.750000</td>\n",
+       "      <td>408.250000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>8504.000000</td>\n",
+       "      <td>3627.000000</td>\n",
+       "      <td>4755.500000</td>\n",
+       "      <td>1526.000000</td>\n",
+       "      <td>816.500000</td>\n",
+       "      <td>965.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>16933.750000</td>\n",
+       "      <td>7190.250000</td>\n",
+       "      <td>10655.750000</td>\n",
+       "      <td>3554.250000</td>\n",
+       "      <td>3922.000000</td>\n",
+       "      <td>1820.250000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>112151.000000</td>\n",
+       "      <td>73498.000000</td>\n",
+       "      <td>92780.000000</td>\n",
+       "      <td>60869.000000</td>\n",
+       "      <td>40827.000000</td>\n",
+       "      <td>47943.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Channel      Region          Fresh          Milk       Grocery  \\\n",
+       "count  440.000000  440.000000     440.000000    440.000000    440.000000   \n",
+       "mean     1.322727    2.543182   12000.297727   5796.265909   7951.277273   \n",
+       "std      0.468052    0.774272   12647.328865   7380.377175   9503.162829   \n",
+       "min      1.000000    1.000000       3.000000     55.000000      3.000000   \n",
+       "25%      1.000000    2.000000    3127.750000   1533.000000   2153.000000   \n",
+       "50%      1.000000    3.000000    8504.000000   3627.000000   4755.500000   \n",
+       "75%      2.000000    3.000000   16933.750000   7190.250000  10655.750000   \n",
+       "max      2.000000    3.000000  112151.000000  73498.000000  92780.000000   \n",
+       "\n",
+       "             Frozen  Detergents_Paper    Delicassen  \n",
+       "count    440.000000        440.000000    440.000000  \n",
+       "mean    3071.931818       2881.493182   1524.870455  \n",
+       "std     4854.673333       4767.854448   2820.105937  \n",
+       "min       25.000000          3.000000      3.000000  \n",
+       "25%      742.250000        256.750000    408.250000  \n",
+       "50%     1526.000000        816.500000    965.500000  \n",
+       "75%     3554.250000       3922.000000   1820.250000  \n",
+       "max    60869.000000      40827.000000  47943.000000  "
+      ]
+     },
+     "execution_count": 183,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([2, 1])"
+      ]
+     },
+     "execution_count": 184,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers['Channel'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "#customers['Region'] = customers['Region'].replace({1:'a',2:'b',3:'c'}) "
    ]
   },
   {
@@ -79,8 +596,92 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([3, 1, 2])"
+      ]
+     },
+     "execution_count": 186,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your observations here"
+    "customers['Region'].unique() "
+   ]
+  },
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "customers['region']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 187,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#customers['Region'] = customers['Region'].apply(lambda x : str(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 188,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0      3\n",
+       "1      3\n",
+       "2      3\n",
+       "3      3\n",
+       "4      3\n",
+       "      ..\n",
+       "435    3\n",
+       "436    3\n",
+       "437    3\n",
+       "438    3\n",
+       "439    3\n",
+       "Name: Region, Length: 440, dtype: int64"
+      ]
+     },
+     "execution_count": 188,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers['Region']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 189,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#customers['Channel'] = customers['Channel'].replace({1:'x',2:'y',}) \n",
+    "#customers['Channel'] = customers['Channel'].apply(lambda x : str(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 190,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#customers['Channel']"
    ]
   },
   {
@@ -94,11 +695,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 191,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here"
+    "# need to normalized the data"
    ]
   },
   {
@@ -106,6 +707,13 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 192,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Your comment here"
    ]
@@ -127,7 +735,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 193,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -135,7 +743,57 @@
     "\n",
     "from sklearn.preprocessing import StandardScaler\n",
     "\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "\n",
+    "scaler = StandardScaler()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customers_scaled = scaler.fit_transform(customers)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 195,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 1.44865163,  0.59066829,  0.05293319, ..., -0.58936716,\n",
+       "        -0.04356873, -0.06633906],\n",
+       "       [ 1.44865163,  0.59066829, -0.39130197, ..., -0.27013618,\n",
+       "         0.08640684,  0.08915105],\n",
+       "       [ 1.44865163,  0.59066829, -0.44702926, ..., -0.13753572,\n",
+       "         0.13323164,  2.24329255],\n",
+       "       ...,\n",
+       "       [ 1.44865163,  0.59066829,  0.20032554, ..., -0.54337975,\n",
+       "         2.51121768,  0.12145607],\n",
+       "       [-0.69029709,  0.59066829, -0.13538389, ..., -0.41944059,\n",
+       "        -0.56977032,  0.21304614],\n",
+       "       [-0.69029709,  0.59066829, -0.72930698, ..., -0.62009417,\n",
+       "        -0.50488752, -0.52286938]])"
+      ]
+     },
+     "execution_count": 195,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers_scaled"
    ]
   },
   {
@@ -149,15 +807,69 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 196,
    "metadata": {
     "scrolled": true
    },
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "from sklearn.cluster import KMeans\n",
+    "model = KMeans(n_clusters = 6, random_state=100)\n",
+    "model.fit(customers)\n",
+    "pred =model.predict(customers_scaled)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 198,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pred = pd.DataFrame(pred,columns = ['label'])\n",
+    "customers = pd.concat([customers,pred],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 212,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3    232\n",
+       "0    106\n",
+       "1     73\n",
+       "2     22\n",
+       "4      5\n",
+       "5      2\n",
+       "Name: label, dtype: int64"
+      ]
+     },
+     "execution_count": 212,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers['label'].value_counts()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -185,20 +897,268 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 200,
    "metadata": {
     "scrolled": true
    },
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "from sklearn.cluster import DBSCAN"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 202,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "Count the values in `labels_DBSCAN`."
+    "model = DBSCAN(eps=0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 208,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "KMeans_labels = model.fit_predict(customers_scaled)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 209,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pred = pd.DataFrame(KMeans_labels,columns = ['KM_label'])\n",
+    "customers = pd.concat([customers,pred],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 210,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "      <th>label</th>\n",
+       "      <th>KM_label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12669</td>\n",
+       "      <td>9656</td>\n",
+       "      <td>7561</td>\n",
+       "      <td>214</td>\n",
+       "      <td>2674</td>\n",
+       "      <td>1338</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7057</td>\n",
+       "      <td>9810</td>\n",
+       "      <td>9568</td>\n",
+       "      <td>1762</td>\n",
+       "      <td>3293</td>\n",
+       "      <td>1776</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6353</td>\n",
+       "      <td>8808</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>2405</td>\n",
+       "      <td>3516</td>\n",
+       "      <td>7844</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13265</td>\n",
+       "      <td>1196</td>\n",
+       "      <td>4221</td>\n",
+       "      <td>6404</td>\n",
+       "      <td>507</td>\n",
+       "      <td>1788</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22615</td>\n",
+       "      <td>5410</td>\n",
+       "      <td>7198</td>\n",
+       "      <td>3915</td>\n",
+       "      <td>1777</td>\n",
+       "      <td>5185</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>435</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29703</td>\n",
+       "      <td>12051</td>\n",
+       "      <td>16027</td>\n",
+       "      <td>13135</td>\n",
+       "      <td>182</td>\n",
+       "      <td>2204</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>436</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>39228</td>\n",
+       "      <td>1431</td>\n",
+       "      <td>764</td>\n",
+       "      <td>4510</td>\n",
+       "      <td>93</td>\n",
+       "      <td>2346</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>437</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>14531</td>\n",
+       "      <td>15488</td>\n",
+       "      <td>30243</td>\n",
+       "      <td>437</td>\n",
+       "      <td>14841</td>\n",
+       "      <td>1867</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>438</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>10290</td>\n",
+       "      <td>1981</td>\n",
+       "      <td>2232</td>\n",
+       "      <td>1038</td>\n",
+       "      <td>168</td>\n",
+       "      <td>2125</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>439</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2787</td>\n",
+       "      <td>1698</td>\n",
+       "      <td>2510</td>\n",
+       "      <td>65</td>\n",
+       "      <td>477</td>\n",
+       "      <td>52</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>440 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Channel  Region  Fresh   Milk  Grocery  Frozen  Detergents_Paper  \\\n",
+       "0          2       3  12669   9656     7561     214              2674   \n",
+       "1          2       3   7057   9810     9568    1762              3293   \n",
+       "2          2       3   6353   8808     7684    2405              3516   \n",
+       "3          1       3  13265   1196     4221    6404               507   \n",
+       "4          2       3  22615   5410     7198    3915              1777   \n",
+       "..       ...     ...    ...    ...      ...     ...               ...   \n",
+       "435        1       3  29703  12051    16027   13135               182   \n",
+       "436        1       3  39228   1431      764    4510                93   \n",
+       "437        2       3  14531  15488    30243     437             14841   \n",
+       "438        1       3  10290   1981     2232    1038               168   \n",
+       "439        1       3   2787   1698     2510      65               477   \n",
+       "\n",
+       "     Delicassen  label  KM_label  \n",
+       "0          1338      3        -1  \n",
+       "1          1776      3        -1  \n",
+       "2          7844      3        -1  \n",
+       "3          1788      0         1  \n",
+       "4          5185      0        -1  \n",
+       "..          ...    ...       ...  \n",
+       "435        2204      0        -1  \n",
+       "436        2346      2        -1  \n",
+       "437        1867      1        -1  \n",
+       "438        2125      3         1  \n",
+       "439          52      3         1  \n",
+       "\n",
+       "[440 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 210,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers"
    ]
   },
   {
@@ -206,8 +1166,43 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "# Your code here\n"
+    "Count the values in `labels_DBSCAN`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 211,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-1    255\n",
+       " 1    130\n",
+       " 5     22\n",
+       " 4      7\n",
+       " 6      6\n",
+       " 0      5\n",
+       " 3      5\n",
+       " 2      5\n",
+       " 7      5\n",
+       "Name: KM_label, dtype: int64"
+      ]
+     },
+     "execution_count": 211,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "customers['KM_label'].value_counts()"
    ]
   },
   {
@@ -232,15 +1227,85 @@
     "Visualize `Detergents_Paper` as X and `Milk` as y by `labels` and `labels_DBSCAN` respectively"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Rq/WuFRERqXzXSt33kbv7buC0evsREZGZ0V92iogETkEuIhI4BbmISOAU5CIigVOQi4gETkEuIhI4BbmISOAU5CIigVOQi4gETkEuIhI4BbmISOAU5CIigVOQi4gETkEuIhI4BbmISOAU5CIigat7YgkzOw74IvA6onnNtrr7bfX2O96l3Z+l7cHPctH9wyw5AG5g8eRGL7fAN8+Csw8e5NgfzadwKE1mQZG2/BAHe1pG15eufJncisHRPn3MQtFSPHPCOn7pA3ceGXR3N/zDf4PBl6L11sVwzic1XVqj7e6GnZthYG80WfTaTXrNRaaQxFRveSDv7g+b2ULgIeBCd/9ppWNqnert0u7P0vrDv+bD/7dES2HyNgWLgjlb9uU4Y6ett3SJ/K8NlIV5WWuHPSsuisJ8dzf8/eVQPFzeKJWFCz+jYGmU3d2w/QoYHvMeZVs136gIlad6q/vUirv3uPvD8fLLwM+AY+vtd6xdB7ZxyfcrhzhAxseHOIwNcQAvpujdvbBiH2ZwwjPd0crOzRNDHKA0HO2Txti5uTzEIVrXay5SUaLnyM1sBdH8nQ9Osm+9me0ys119fX219Zvp55gDydRYOJSecn/aS9HCwN7KjabaJ/Wp9NrqNRepKLEgN7OjgK8DG919Quy6+1Z373L3ro6Ojpr69kI7+xclU2dmQXHK/UWLX5Lc8sqNpton9an02uo1F6kokSA3syxRiH/J3f8uiT7H6lp0CdvOTDE0xaXZgsGwjd9afq7F0iWWrny5Yh/u8MwJ8XnYtZsgPW9io1Q22ieNsXZTdE58rGyrXnORKdQd5GZmwOeBn7n7/6i/pInuWvcRBlf/Mf/z7Cx9i6J4LsUXNx040ALbzoGXzjxIZkEBcDILCuR+qXx9/IXOkePdoUDqyIVOiC6svffT0Z0qI1oX60Jno61cF13YzB0HWPSsC50iU0rirpUzgPuBnwDxCWY+5u7frnRMrXetiIhI5btW6r6P3N0fYPztISIiMmv0l50iIoFTkIuIBE5BLiISOAW5iEjgFOQiIoFTkIuIBE5BLiISOAW5iEjgFOQiIoFTkIuIBE5BLiISOAW5iEjgFOQiIoFTkIuIBE5BLiISuLr/P3IAM/sC8B6g191PSaLP8f7oqjfxx//H6/jJ42X/afrYNSubEs4AJzWvxNJVB8idMFjff7ZuIz2ODjz6NFm/JYxDPo82exUHUlZ+3EifDqSWvBH2P4l7kSIpthXO4tZ5H8YdBgaHybVmGS6WOHg4mqe0NZuiJZum/9Awne2tbHnTk/zaz/4SBl+a8PUfWU3DW/4Ajn9bNJP9wLPRNi9yqDXPzcO/y12vrObSo37IVdmvsmBwH7QeHR07+Itors21m47M8LO7O+5nb/Xtxu9L2myOJdIAdc8QBGBmZwKvAF+sJshrnSHoj656E39SV4jPjKWc/Or+sunhmsn4Hwbu8MXib3Fd4YPTHntB6gH+Knsn82zqyahHxeE93iGfx9eKZ/L+9PdZYIcnPzbbGk3XBrD9Chiu8HpO1W5kX9IBu7t79sYSqVOlGYISCfJ4gBXAtxoR5N9f/St0HKijuDpkFhR4wwW9czP4DBQ8xS+/+rfTtntg3hUsT72Y2JgZK03dKHdc9Dzw7Mzb5Y6DKx+rvcCp3HrK7I0lUqeGTfVWQwHrgfUAxx9/fE3HHjNHIQ5QOJSeu8FnIM00gRrrtGRCvOoxB/ZW19lU7artoxaV+mzEWCINMmtnK9x9q7t3uXtXR0dHTcfuX9SgoqqQWVDlqYcmUazyLX3el8zumLnl0aOedtUcX6vZHEukQYK4a2XbGqvyc2ayLOUsXfnyHIxcnfEnxdzhS8Wzqjr25sI6DnsNv23Y5G0P+Ty+VDyLQz6v8rHZ1ugC4tpN0fJM2o3sS9psjiXSIEEE+R03/5RPXWAUicJrZo/Ka4xbi+5aKfK61f0sPGEQd2b+GO0xfsTbSxXaF914uTSfkkPRJx430mcJsCVvBEvjQIEU/7v4W2yZ92HaW7MY0N6apW3ekQBuzaY4ekG076FF7+THb7kJWhePe7XH3Utjaej6ELzvjiPnr+NQP9Sa5+bsZVxf+CA3Zy/jUGs+Or51cdyvRceMXDhcuS5azh1XW7ux+5I2m2OJNEhSd618GVgDLAFeAK5z989Xal/rxU4REWnwxU53vziJfkREpHZBnFoREZHKFOQiIoFTkIuIBE5BLiISOAW5iEjgFOQiIoFTkIuIBE5BLiISOAW5iEjgFOQiIoFTkIuIBE5BLiISOAW5iEjgFOQiIoFTkIuIBE5BLiISuEQmljCzdwO3AWngc+7+l0n0O9Ybr/0219jn+f30TlITZqsst6NtAbcvbufdO+HsR45MXuZEyyUDcxg8qsQvnzJA7oTB+AuJ9o/2PrJgZU+R3HHRvI4r18Hubti5GQaejaZB8+KRKdQGXzqybfQ5BR7PQtq6GE5+Hzx5bzRze275kX6nMzpujceJyGtK3VO9mVka+FfgncBe4EfAxe7+00rH1DrV20iI/9f0dzGbuu2OtgVcv2QxF3+nxLsfnjAD5QSFjHN8Vz+5FYNV1zMq2wq/egn8eBsMz+D4qfqdbt7I3d2w/Yrycas5TkSCVWmqtyROrawGnnL3Pe5+GPgK8N4E+h01VHR+L/2P04Y4wG1HtzOUSvGuR6YPcYBMwejdvXBmhQ0PwkP/K9kQH+l35+ap2+zcPHHcao4TkdecJIL8WODZMet7421lzGy9me0ys119fX01D5KmVFW7fZlohvdUDb9oFA6lp29UiRdnfuxUBvbObP90x4nIa86sXex0963u3uXuXR0dHTUfX6yy1GWFKFhL1Xwcj2UW1BHGVscPgankls9s/3THichrThJB/hxw3Jj15fG2xLSkjS8Vz6Ka0/kbftFPS6nEvacxzSXRSCHjLF358swKy7bCW/4gek5StjW6cDmVtZsmjlvNcSLympPEXSs/At5gZq8nCvCLgEsS6HfUz284lzdeCxSZ9q6Vc185hDvcflY7eHV3rSw6YTD6ITHTu1aOf9vs37Uysl93rYj8p1f3XSsAZnYusIXo9sMvuPsNU7Wv9a4VERGpfNdKIveRu/u3gW8n0ZeIiNRGf9kpIhI4BbmISOAU5CIigVOQi4gETkEuIhI4BbmISOAU5CIigVOQi4gETkEuIhI4BbmISOAU5CIigVOQi4gETkEuIhI4BbmISOAU5CIigVOQi4gErq6JJczs/cD1wK8Aq929YdP+nHrXqRQpcvPWAifsb9QojVE2fVwVDhtk/cixlaSXLqXU2zva93AKvnjhUTjOhd89yJID0bR2KYcXF8HdZ83nkVMX0v9qPylL8fbHhvnQd6Bt0I+MY0bZ5KjpNO3r3s+CVavovXULheefh3QaLxbZn0vxpXc4Pzg5zbueaOHSBzJk+wZI53KUAB8YIJPP89zvvYMbcw+w7+A+zntyIRd/v0S2bwDL5UgBxbjd0is3kjv/fAa2b+eFG26k2N8fldTeTv7aj5E7//waXsXqDWzfHn1tPT1ldQDs2LODB75wI+fc+xJLDkBhaTsnfHTyWnbs2cFtD9/GvoP7WNa2jA2rNnDeiefNeOxa2syGZqkjVI18/eqa6s3MfgUoAXcCf1ZtkNc61dv4EJ8q3P4zGZmDdKwSUDCYN8nbOpSBO881fnBymtMfL/KR7T5pu0mlUlAqTdrn91bCb+6GlsLkh76ahTvOiSr98Le9YjtraSH3vgsZuPvr+PBw+c5Mhs6bbkw8OAa2b6fnzzfhQ0NldeQ/vpkHTk5xz9Zr+cC3Xi2ruTQ/y/JP3FBWy449O7j+n65nqHikn5Z0C9f/+vUVw3yqsUf6rqbNbGiWOkKV1OtXaaq3pObsvI8GBvmb73ozAF+9qaAQr1PfIrj88gyf/nSBjgPJ9Fk0SE/zbdS3KHqedsx0GorFSXdlOjt5wz/urL3AKTx51trot4xJxrr8sjT//eZnJ615fC3vuvtd9BzsmdAu35bn3v9yb81jj/RdTZvZ0Cx1hCqp16+hc3ZWWcB6YD3A8ccfP1vDyjjHHCh/TkKqis8CVY9XIcQBCj0Tg7Jelfos9PSw72CmYt3jj9t3cN+k7Sptn27sWtrMhmapI1SNfv2mvdhpZt81s8cmeby3loHcfau7d7l7V0dHx8wrlrrsX1T+nIRSFb8m7V9U5ZjpdMVdmXy++qKqVKnPTD7PsrZlFWsef9yytmWTtqu0fbqxa2kzG5qljlA1+vWbNsjd/bfc/ZRJHn+fSAVVSBP9437mmNouGr7WTfZalIgulk5mKAPb1kQ7t62xiu0mlZr8W2UoA/eeFj1X8mo2Gm/bGpuynbW00L7u/Vg2O3FnJsPSKzfWUHB1ll65EWtpmVDH0is3smHVBu4+a/6EmkvzsxNq2bBqAy3p8n5a0i1sWLVhRmPX0mY2NEsdoWr06zdrp1bq8eilj3LqXady1Xp018oYM7lr5fFTF8Kr/fzzKVkgubtWnltR+a6VF37vHeyJ71o5et70d60sWLVq1u5aGelzsrsJzgNYD92Z6e9aGbmgWctdK1ONXUub2dAsdYSq0a9fvXetvA/4FNAB9AOPuvvZ0x1X68VOERFp0MVOd/8G8I16+hARkfroLztFRAKnIBcRCZyCXEQkcApyEZHAJfIn+jUPatYHPDPDw5cALyZYTqOEUKdqTE4IdYZQI4RR51zVeIK7T/iLyjkJ8nqY2a7Jbr9pNiHUqRqTE0KdIdQIYdTZbDXq1IqISOAU5CIigQsxyLfOdQFVCqFO1ZicEOoMoUYIo86mqjG4c+QiIlIuxE/kIiIyhoJcRCRwQQW5mb3bzJ4ws6fM7OpZGO8LZtZrZo+N2bbYzL5jZk/Gz0fH283Mbo9r221mq8Ycc2nc/kkzu3TM9reY2U/iY243s5pnsjOz48zse2b2UzN73Mw2NGmdLWb2QzP7cVznX8TbX29mD8Z9f9XM5sXb58frT8X7V4zp65p4+xNmdvaY7Yl8f5hZ2sweMbNvNWONZvZ0/H48ama74m1N9X7H/bSb2d1m9nMz+5mZvb2Z6jSzk+LXcORxwMw2NlONVXP3IB5AGvg34ERgHvBj4E0NHvNMYBXw2JhtNwNXx8tXA5+Ml88F/oHovxB/G/BgvH0xsCd+PjpePjre98O4rcXHnjODGvPAqnh5IfCvwJuasE4DjoqXs8CDcZ/dwEXx9juAj8TLlwF3xMsXAV+Nl98Uv/fzgdfH3xPpJL8/gD8FtgHfitebqkbgaWDJuG1N9X7H/dwF/GG8PA9ob8Y6477SwD7ghGatccr6G9FpQwqFtwP3jFm/BrhmFsZdQXmQPwHk4+U88ES8fCdw8fh2wMXAnWO23xlvywM/H7O9rF0d9f498M5mrhNYADwMvJXor+My499j4B7g7fFyJm5n49/3kXZJfX8Ay4GdwFnAt+Ixm63Gp5kY5E31fgM54N+Jb6ho1jrHHP8u4AfNXONUj5BOrRwLPDtmfW+8bba9zt1HZkzdB7wuXq5U31Tb906yfcbiX+1PI/q023R1xqcsHgV6ge8QfTrtd/fCJH2P1hPvHwCOmUH9tdoCXEU0ax7xmM1WowP3mtlDFk1qDs33fr8e6AP+Jj5N9Tkza2vCOkdcBHw5Xm7WGisKKcibjkc/Zpvi/k0zOwr4OrDR3cvmfm+WOt296O6nEn3qXQ28cW4rKmdm7wF63f2hua5lGme4+yrgHOByMztz7M4meb8zRKclP+vupwEHiU5TjGqSOomveVwAfG38vmapcTohBflzwHFj1pfH22bbC2aWB4ife+PtleqbavvySbbXzMyyRCH+JXf/u2atc4S79wPfIzrV0G5mIzNVje17tJ54fw7YP4P6a3E6cIGZPQ18hej0ym1NViPu/lz83Es0Q9dqmu/93gvsdfcH4/W7iYK92eqE6Afiw+7+QrzejDVOrRHnaxrxIPoJv4foV7aRC0Unz8K4Kyg/R34L5RdCbo6Xz6P8QsgP4+2Lic4VHh0//h1YHO8bfyHk3BnUZ8AXgS3jtjdbnR1Ae7zcCtwPvIfoU9DYC4mXxcuXU34hsTtePpnyC4l7iC5UJfr9AazhyMXOpqkRaAMWjln+J+DdzfZ+x/3cD5wUL18f19iMdX4F+ECz/tup6mtoRKeNehBdNf5XonOr187CeF8GeoBhok8YHyI6B7oTeBL47pg3zIBPx7X9BOga088Hgafix9hvmC7gsfiYv2bchaEqazyD6Fe/3cCj8ePcJqxzJfBIXOdjwKZ4+4nxN/tTRIE5P97eEq8/Fe8/cUxf18a1PMGYuwCS/P6gPMibpsa4lh/Hj8dH+mi29zvu51RgV/yef5Mo5JqqTqIfhvuB3JhtTVVjNQ/9ib6ISOBCOkcuIiKTUJCLiAROQS4iEjgFuYhI4BTkIiKBU5CLiAROQS4iErj/DxvSylrP31L+AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(customers['Detergents_Paper'], customers['label'])\n",
+    "plt.scatter(customers['Milk'], customers['label'])\n",
+    "plt.scatter(customers['Detergents_Paper'], customers['KM_label'])\n",
+    "plt.scatter(customers['Milk'], customers['KM_label'])\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 222,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "plt.scatter(customers['Fresh'], customers['label'])\n",
+    "plt.scatter(customers['Grocery'], customers['label'])\n",
+    "plt.show()\n",
+    "plt.scatter(customers['Fresh'], customers['KM_label'])\n",
+    "plt.scatter(customers['Grocery'], customers['KM_label'])\n",
+    "plt.show()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -266,13 +1331,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 223,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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REdKDw4yOZ+lIJuY1xrwdG4DDe+DsSWhdC5t3w4btC7NvEWkIc/e5O5jdDpwDvlJtUKdSKc9kMlUXcTGkzarepGruzDlu3iGP0Wylr8OEN/Pp3A6eif06+7atrzpoDx0dYdfB42Rzk1NtiXispjHm7dgAPPUg5LKX2uIJ2HJAYS0SODMbcvdUuXUVT324+z8CP617VUUaFdIwd0gDNBkzQhqgxS6ws3mAbG6S9OBw1ftLDw6XhDRQ8xjzdnhPaUhD4fnhPY3ft4g0TN3OUZvZDjPLmFlmbGysXsMuqg57E4DR8WyFnpfM1reWMebt7Mna2kVkSahbULv7o+6ecvdUe3t7vYZdVKN+DQAdyUTV28zWt5Yx5q11bW3tIrIkBHHXxy88ToVT5fNWady8wwWfeX5kwpvZf2E7iXiM/t7uqvfX39tNIh4raat1jHnbvLtwTrpYPFFoF5ElK4igXrXn9FRY1/PxZn4Vf53/DUa8jbwbE26FdRTWT7jxqdwD7I1/kl/GW4HCunGupD+3g6Gr7qj5ImBfTyf7tq2nM5nAgM5kYmEuJELhguGWA9DaBVjhqy4kiix51dz18TjwAaANeAN42N2/ONc2td71ISKy3M1110fF+6jd/d76lyQiItUK4tSHiIjMTkEtIhI4BbWISOAU1CIigVNQi4gETkEtIhI4BbWISOAU1CIigVNQi4gETkEtIhI4BbWISOAU1CIigVNQi4gETkEtIhI4BbWISOAU1CIigVNQi4gETkEtIhI4BbWISOAU1CIigVNQi4gETkEtIhI4BbWISOAU1CIigVNQi4gETkEtIhI4BbWISOAU1CIigVNQi4gETkEtIhI4BbWISOCaq+lkZh8GPg/EgMfc/XP1LuSf05t517lMXcf8BSv4pcdZbefI00SMPGdYhTustnP8wlew0iZoMmfSm/jq5IcYyv8q/zE+QIe9yRu0sW/iHp6O3c7/y+XxWfbTEjNyk152fcyMSXc6kwk++O52vvn8a4xncwCsXhnn4S030NfTCcChoyN89qkXOXO+sD6ZiPOZrdH6YwNweA+cPcn5xK+wP/e7fPnczXQkE/T3dk+NUYtDR0dIDw4zOp69rHGWO72O0mjmPlv8RB3MYsA/A3cAJ4HvA/e6+w9m2yaVSnkmU33oXgxps6o3aQh3mKSJZstPtZ33Fh7K3c+T+dsass94zEjfvRGA/ieeJzdZ+v2INxlfu+UENx1/GHLZsnUl4jH2bVtfUzgcOjrCroPHyeYmp9rmM85yp9dR6sXMhtw9VW5dNac+bgZedvdX3H0C+Drw2/UsMISQBjCjJKQBVtoEO5sHGrbP3KSTHhwmPTg8I6QBcnmn69l0SUhPryubmyQ9OFzTftODwyXhMt9xlju9jrIQqjn10QmcKHp+Enjf9E5mtgPYAXDdddfVpbhQdNibDR1/dDw75/q3+xiU+UVWXFelMardZ63jLHd6HWUh1O1iors/6u4pd0+1t7fXa9ggjPo1DR2/I5mgI5mYdf0pK/96Ftc11/az7bOWdilPr6MshGqCegToKnq+Nmqrm5dWpahwqnxBuMMFL31JznsL+y9sb9g+4zGjv7eb/t5u4rGZb5vjTcaJTf0QL/3BL64rEY/R39td0377e7tJxGMlbfMZZ7nT6ygLoZqg/j7wLjO73sxagI8CT9aziF/tPzwV1vV8nPMVvJlfRT4KYHf4qa+K2oyf51cw6YZTWP+Vyd/gj3L/nhFvI4/xOu3syt3PM7Hby515mNISs1nXx6KT753JBPfdch3JRHxq3eqVcdJ3b6Svp5O+nk7Sd29k9cpL65OJOOl7NnLT1o/DlgPQ2gUY5xNr2B9/gKfyt9GZTMzrwlVfTyf7tq2nM5nAovp0Aax2eh1lIVS86wPAzO4EHqFwe96X3P1P5upf610fIiLL3Vx3fVR1H7W7fwv4Vl2rEhGRqugvE0VEAqegFhEJnIJaRCRwCmoRkcBVdddHzYOajQE/mefmbcDpOpazWDSPsGgeYdE8ZnqHu5f967aGBPXlMLPMbLeoLCWaR1g0j7BoHrXRqQ8RkcApqEVEAhdiUD+62AXUieYRFs0jLJpHDYI7Ry0iIqVCfEctIiJFFNQiIoELJqjN7MNmNmxmL5vZQ4tdD4CZfcnMTpnZC0VtV5vZM2b2UvR1ddRuZnYgqv+YmW0q2uZjUf+XzOxjRe03mtnxaJsDZo35QDIz6zKzb5vZD8zsRTP75FKci5m9zcy+Z2bPR/P4bNR+vZkdifb9N9F/x4uZrYievxytX1c01q6ofdjMeovaF+w4NLOYmR01s28u1XmY2avR9/05M8tEbUvquIr2kzSzJ8zsR2b2QzN7f1DzcPdFf1D471P/BXgn0AI8D7wngLpuBzYBLxS17QceipYfAv5LtHwn8D8ofGjWLcCRqP1q4JXo6+poeXW07ntRX4u2/UiD5rEG2BQtX0nhw4rfs9TmEo29KlqOA0eifQ4AH43a/xL4w2j5AeAvo+WPAn8TLb8nOsZWANdHx15soY9D4I+ArwHfjJ4vuXkArwJt09qW1HEV7efLwP3RcguQDGkeDTkA5/EivR8YLHq+C9i12HVFtayjNKiHgTXR8hpgOFr+AoVPZy/pB9wLfKGo/QtR2xrgR0XtJf0aPKf/TuFT5ZfsXICVwLMUPr/zNNA8/VgCBoH3R8vNUT+bfnxd7LeQxyGFT0o6DHwI+GZU11Kcx6vMDOoldVwBrcCPiW6uCHEeoZz6KPcBuqF+RMa17v5atPw6cG20PNsc5mo/Waa9oaJ/NvdQeDe65OYSnS54DjgFPEPhneO4u18os++peqP1Z4FrKsxjoY7DR4CdwMWPvb+GpTkPB542syErfMA1LL3j6npgDPir6FTUY2Z2BQHNI5SgXpK88OtxydzfaGargG8An3L3nxWvWypzcfdJd38vhXekNwPvXtyKamdmdwGn3H1osWupg9vcfRPwEeATZnZ78colclw1UzjF+Rfu3gP8gsKpjimLPY9QgrrhH6BbR2+Y2RqA6OupqH22OczVvrZMe0OYWZxCSH/V3Q9GzUtyLgDuPg58m8I/85NmdvHTior3PVVvtL4VeJPa51dvtwJbzexV4OsUTn98fgnOA3cfib6eAv6Owi/PpXZcnQROuvuR6PkTFII7nHk04rzVPM4RNVM48X49ly5+3LDYdUW1raP0HHWa0gsM+6Pl36L0AsP3ovarKZz/Wh09fgxcHa2bfoHhzgbNwYCvAI9Ma19ScwHagWS0nAC+A9wF/C2lF+EeiJY/QelFuIFo+QZKL8K9QuEC3IIfh8AHuHQxcUnNA7gCuLJo+f8CH15qx1W0n+8A3dHyZ6I5BDOPhh2A83ih7qRwN8K/AH+82PVENT0OvAbkKPzW/QMK5wYPAy8B/7PoG2HAf4vqPw6kisb5feDl6PHvitpTwAvRNn/GtIsZdZzHbRT+2XYMeC563LnU5gJsAI5G83gB2B21vzP6QXiZQtitiNrfFj1/OVr/zqKx/jiqdZiiK/ALfRxSGtRLah5Rvc9Hjxcv7mepHVfRft4LZKJj6xCFoA1mHvoTchGRwIVyjlpERGahoBYRCZyCWkQkcApqEZHAKahFRAKnoBYRCZyCWkQkcP8fNrou6fRWpTEAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:"
+    "plt.scatter(customers['Frozen'], customers['label'])\n",
+    "plt.scatter(customers['Delicassen'], customers['label'])\n",
+    "plt.show()\n",
+    "plt.scatter(customers['Frozen'], customers['KM_label'])\n",
+    "plt.scatter(customers['Delicassen'], customers['KM_label'])\n",
+    "plt.show()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -282,11 +1391,1203 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 228,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "      <th>label</th>\n",
+       "      <th>KM_label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12669</td>\n",
+       "      <td>9656</td>\n",
+       "      <td>7561</td>\n",
+       "      <td>214</td>\n",
+       "      <td>2674</td>\n",
+       "      <td>1338</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7057</td>\n",
+       "      <td>9810</td>\n",
+       "      <td>9568</td>\n",
+       "      <td>1762</td>\n",
+       "      <td>3293</td>\n",
+       "      <td>1776</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6353</td>\n",
+       "      <td>8808</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>2405</td>\n",
+       "      <td>3516</td>\n",
+       "      <td>7844</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13265</td>\n",
+       "      <td>1196</td>\n",
+       "      <td>4221</td>\n",
+       "      <td>6404</td>\n",
+       "      <td>507</td>\n",
+       "      <td>1788</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22615</td>\n",
+       "      <td>5410</td>\n",
+       "      <td>7198</td>\n",
+       "      <td>3915</td>\n",
+       "      <td>1777</td>\n",
+       "      <td>5185</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9413</td>\n",
+       "      <td>8259</td>\n",
+       "      <td>5126</td>\n",
+       "      <td>666</td>\n",
+       "      <td>1795</td>\n",
+       "      <td>1451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12126</td>\n",
+       "      <td>3199</td>\n",
+       "      <td>6975</td>\n",
+       "      <td>480</td>\n",
+       "      <td>3140</td>\n",
+       "      <td>545</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6006</td>\n",
+       "      <td>11093</td>\n",
+       "      <td>18881</td>\n",
+       "      <td>1159</td>\n",
+       "      <td>7425</td>\n",
+       "      <td>2098</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>31714</td>\n",
+       "      <td>12319</td>\n",
+       "      <td>11757</td>\n",
+       "      <td>287</td>\n",
+       "      <td>3881</td>\n",
+       "      <td>2931</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21217</td>\n",
+       "      <td>6208</td>\n",
+       "      <td>14982</td>\n",
+       "      <td>3095</td>\n",
+       "      <td>6707</td>\n",
+       "      <td>602</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>24653</td>\n",
+       "      <td>9465</td>\n",
+       "      <td>12091</td>\n",
+       "      <td>294</td>\n",
+       "      <td>5058</td>\n",
+       "      <td>2168</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1020</td>\n",
+       "      <td>8816</td>\n",
+       "      <td>12121</td>\n",
+       "      <td>134</td>\n",
+       "      <td>4508</td>\n",
+       "      <td>1080</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26373</td>\n",
+       "      <td>36423</td>\n",
+       "      <td>22019</td>\n",
+       "      <td>5154</td>\n",
+       "      <td>4337</td>\n",
+       "      <td>16523</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4113</td>\n",
+       "      <td>20484</td>\n",
+       "      <td>25957</td>\n",
+       "      <td>1158</td>\n",
+       "      <td>8604</td>\n",
+       "      <td>5206</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43088</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>2609</td>\n",
+       "      <td>1200</td>\n",
+       "      <td>1107</td>\n",
+       "      <td>823</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4591</td>\n",
+       "      <td>15729</td>\n",
+       "      <td>16709</td>\n",
+       "      <td>33</td>\n",
+       "      <td>6956</td>\n",
+       "      <td>433</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>56159</td>\n",
+       "      <td>555</td>\n",
+       "      <td>902</td>\n",
+       "      <td>10002</td>\n",
+       "      <td>212</td>\n",
+       "      <td>2916</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>44466</td>\n",
+       "      <td>54259</td>\n",
+       "      <td>55571</td>\n",
+       "      <td>7782</td>\n",
+       "      <td>24171</td>\n",
+       "      <td>6465</td>\n",
+       "      <td>4</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40721</td>\n",
+       "      <td>3916</td>\n",
+       "      <td>5876</td>\n",
+       "      <td>532</td>\n",
+       "      <td>2587</td>\n",
+       "      <td>1278</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>61</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35942</td>\n",
+       "      <td>38369</td>\n",
+       "      <td>59598</td>\n",
+       "      <td>3254</td>\n",
+       "      <td>26701</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>4</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>85</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16117</td>\n",
+       "      <td>46197</td>\n",
+       "      <td>92780</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>40827</td>\n",
+       "      <td>2944</td>\n",
+       "      <td>4</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>86</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22925</td>\n",
+       "      <td>73498</td>\n",
+       "      <td>32114</td>\n",
+       "      <td>987</td>\n",
+       "      <td>20070</td>\n",
+       "      <td>903</td>\n",
+       "      <td>4</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>87</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43265</td>\n",
+       "      <td>5025</td>\n",
+       "      <td>8117</td>\n",
+       "      <td>6312</td>\n",
+       "      <td>1579</td>\n",
+       "      <td>14351</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>103</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>56082</td>\n",
+       "      <td>3504</td>\n",
+       "      <td>8906</td>\n",
+       "      <td>18028</td>\n",
+       "      <td>1480</td>\n",
+       "      <td>2498</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>183</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>36847</td>\n",
+       "      <td>43950</td>\n",
+       "      <td>20170</td>\n",
+       "      <td>36534</td>\n",
+       "      <td>239</td>\n",
+       "      <td>47943</td>\n",
+       "      <td>5</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>325</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>32717</td>\n",
+       "      <td>16784</td>\n",
+       "      <td>13626</td>\n",
+       "      <td>60869</td>\n",
+       "      <td>1272</td>\n",
+       "      <td>5609</td>\n",
+       "      <td>5</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>333</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>8565</td>\n",
+       "      <td>4980</td>\n",
+       "      <td>67298</td>\n",
+       "      <td>131</td>\n",
+       "      <td>38102</td>\n",
+       "      <td>1215</td>\n",
+       "      <td>4</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Channel  Region  Fresh   Milk  Grocery  Frozen  Detergents_Paper  \\\n",
+       "0          2       3  12669   9656     7561     214              2674   \n",
+       "1          2       3   7057   9810     9568    1762              3293   \n",
+       "2          2       3   6353   8808     7684    2405              3516   \n",
+       "3          1       3  13265   1196     4221    6404               507   \n",
+       "4          2       3  22615   5410     7198    3915              1777   \n",
+       "5          2       3   9413   8259     5126     666              1795   \n",
+       "6          2       3  12126   3199     6975     480              3140   \n",
+       "9          2       3   6006  11093    18881    1159              7425   \n",
+       "12         2       3  31714  12319    11757     287              3881   \n",
+       "13         2       3  21217   6208    14982    3095              6707   \n",
+       "14         2       3  24653   9465    12091     294              5058   \n",
+       "16         2       3   1020   8816    12121     134              4508   \n",
+       "23         2       3  26373  36423    22019    5154              4337   \n",
+       "28         2       3   4113  20484    25957    1158              8604   \n",
+       "29         1       3  43088   2100     2609    1200              1107   \n",
+       "38         2       3   4591  15729    16709      33              6956   \n",
+       "39         1       3  56159    555      902   10002               212   \n",
+       "47         2       3  44466  54259    55571    7782             24171   \n",
+       "52         2       3  40721   3916     5876     532              2587   \n",
+       "61         2       3  35942  38369    59598    3254             26701   \n",
+       "85         2       3  16117  46197    92780    1026             40827   \n",
+       "86         2       3  22925  73498    32114     987             20070   \n",
+       "87         1       3  43265   5025     8117    6312              1579   \n",
+       "103        1       3  56082   3504     8906   18028              1480   \n",
+       "183        1       3  36847  43950    20170   36534               239   \n",
+       "325        1       2  32717  16784    13626   60869              1272   \n",
+       "333        2       2   8565   4980    67298     131             38102   \n",
+       "\n",
+       "     Delicassen  label  KM_label  \n",
+       "0          1338      3        -1  \n",
+       "1          1776      3        -1  \n",
+       "2          7844      3        -1  \n",
+       "3          1788      0         1  \n",
+       "4          5185      0        -1  \n",
+       "5          1451      3        -1  \n",
+       "6           545      3         0  \n",
+       "9          2098      1        -1  \n",
+       "12         2931      0        -1  \n",
+       "13          602      0        -1  \n",
+       "14         2168      0        -1  \n",
+       "16         1080      1         3  \n",
+       "23        16523      1        -1  \n",
+       "28         5206      1        -1  \n",
+       "29          823      2         2  \n",
+       "38          433      1        -1  \n",
+       "39         2916      2        -1  \n",
+       "47         6465      4        -1  \n",
+       "52         1278      2        -1  \n",
+       "61         2017      4        -1  \n",
+       "85         2944      4        -1  \n",
+       "86          903      4        -1  \n",
+       "87        14351      2        -1  \n",
+       "103        2498      2        -1  \n",
+       "183       47943      5        -1  \n",
+       "325        5609      5        -1  \n",
+       "333        1215      4        -1  "
+      ]
+     },
+     "execution_count": 228,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "labels = customers.copy()\n",
+    "labels = customers.groupby('label')\n",
+    "KM_label = customers.copy \n",
+    "KM_label = customers.groupby('KM_label')\n",
+    "labels.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "      <th>label</th>\n",
+       "      <th>KM_label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12669</td>\n",
+       "      <td>9656</td>\n",
+       "      <td>7561</td>\n",
+       "      <td>214</td>\n",
+       "      <td>2674</td>\n",
+       "      <td>1338</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7057</td>\n",
+       "      <td>9810</td>\n",
+       "      <td>9568</td>\n",
+       "      <td>1762</td>\n",
+       "      <td>3293</td>\n",
+       "      <td>1776</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6353</td>\n",
+       "      <td>8808</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>2405</td>\n",
+       "      <td>3516</td>\n",
+       "      <td>7844</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13265</td>\n",
+       "      <td>1196</td>\n",
+       "      <td>4221</td>\n",
+       "      <td>6404</td>\n",
+       "      <td>507</td>\n",
+       "      <td>1788</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22615</td>\n",
+       "      <td>5410</td>\n",
+       "      <td>7198</td>\n",
+       "      <td>3915</td>\n",
+       "      <td>1777</td>\n",
+       "      <td>5185</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9413</td>\n",
+       "      <td>8259</td>\n",
+       "      <td>5126</td>\n",
+       "      <td>666</td>\n",
+       "      <td>1795</td>\n",
+       "      <td>1451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12126</td>\n",
+       "      <td>3199</td>\n",
+       "      <td>6975</td>\n",
+       "      <td>480</td>\n",
+       "      <td>3140</td>\n",
+       "      <td>545</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5963</td>\n",
+       "      <td>3648</td>\n",
+       "      <td>6192</td>\n",
+       "      <td>425</td>\n",
+       "      <td>1716</td>\n",
+       "      <td>750</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>10253</td>\n",
+       "      <td>1114</td>\n",
+       "      <td>3821</td>\n",
+       "      <td>397</td>\n",
+       "      <td>964</td>\n",
+       "      <td>412</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1020</td>\n",
+       "      <td>8816</td>\n",
+       "      <td>12121</td>\n",
+       "      <td>134</td>\n",
+       "      <td>4508</td>\n",
+       "      <td>1080</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7780</td>\n",
+       "      <td>2495</td>\n",
+       "      <td>9464</td>\n",
+       "      <td>669</td>\n",
+       "      <td>2518</td>\n",
+       "      <td>501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5567</td>\n",
+       "      <td>871</td>\n",
+       "      <td>2010</td>\n",
+       "      <td>3383</td>\n",
+       "      <td>375</td>\n",
+       "      <td>569</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16165</td>\n",
+       "      <td>4230</td>\n",
+       "      <td>7595</td>\n",
+       "      <td>201</td>\n",
+       "      <td>4003</td>\n",
+       "      <td>57</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43088</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>2609</td>\n",
+       "      <td>1200</td>\n",
+       "      <td>1107</td>\n",
+       "      <td>823</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>491</td>\n",
+       "      <td>10473</td>\n",
+       "      <td>11532</td>\n",
+       "      <td>744</td>\n",
+       "      <td>5611</td>\n",
+       "      <td>224</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8590</td>\n",
+       "      <td>3045</td>\n",
+       "      <td>7854</td>\n",
+       "      <td>96</td>\n",
+       "      <td>4095</td>\n",
+       "      <td>225</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>11867</td>\n",
+       "      <td>3327</td>\n",
+       "      <td>4814</td>\n",
+       "      <td>1178</td>\n",
+       "      <td>3837</td>\n",
+       "      <td>120</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>94</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5626</td>\n",
+       "      <td>12220</td>\n",
+       "      <td>11323</td>\n",
+       "      <td>206</td>\n",
+       "      <td>5038</td>\n",
+       "      <td>244</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>102</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2932</td>\n",
+       "      <td>6459</td>\n",
+       "      <td>7677</td>\n",
+       "      <td>2561</td>\n",
+       "      <td>4573</td>\n",
+       "      <td>1386</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>106</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1454</td>\n",
+       "      <td>6337</td>\n",
+       "      <td>10704</td>\n",
+       "      <td>133</td>\n",
+       "      <td>6830</td>\n",
+       "      <td>1831</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>129</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>42312</td>\n",
+       "      <td>926</td>\n",
+       "      <td>1510</td>\n",
+       "      <td>1718</td>\n",
+       "      <td>410</td>\n",
+       "      <td>1819</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2861</td>\n",
+       "      <td>6570</td>\n",
+       "      <td>9618</td>\n",
+       "      <td>930</td>\n",
+       "      <td>4004</td>\n",
+       "      <td>1682</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>160</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1725</td>\n",
+       "      <td>3651</td>\n",
+       "      <td>12822</td>\n",
+       "      <td>824</td>\n",
+       "      <td>4424</td>\n",
+       "      <td>2157</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>170</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>260</td>\n",
+       "      <td>8675</td>\n",
+       "      <td>13430</td>\n",
+       "      <td>1116</td>\n",
+       "      <td>7015</td>\n",
+       "      <td>323</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2343</td>\n",
+       "      <td>7845</td>\n",
+       "      <td>11874</td>\n",
+       "      <td>52</td>\n",
+       "      <td>4196</td>\n",
+       "      <td>1697</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>199</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9670</td>\n",
+       "      <td>2280</td>\n",
+       "      <td>2112</td>\n",
+       "      <td>520</td>\n",
+       "      <td>402</td>\n",
+       "      <td>347</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>203</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>583</td>\n",
+       "      <td>685</td>\n",
+       "      <td>2216</td>\n",
+       "      <td>469</td>\n",
+       "      <td>954</td>\n",
+       "      <td>18</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>204</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1956</td>\n",
+       "      <td>891</td>\n",
+       "      <td>5226</td>\n",
+       "      <td>1383</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1328</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>206</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6373</td>\n",
+       "      <td>780</td>\n",
+       "      <td>950</td>\n",
+       "      <td>878</td>\n",
+       "      <td>288</td>\n",
+       "      <td>285</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>210</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>18567</td>\n",
+       "      <td>1895</td>\n",
+       "      <td>1393</td>\n",
+       "      <td>1801</td>\n",
+       "      <td>244</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>222</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5041</td>\n",
+       "      <td>1115</td>\n",
+       "      <td>2856</td>\n",
+       "      <td>7496</td>\n",
+       "      <td>256</td>\n",
+       "      <td>375</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>229</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8656</td>\n",
+       "      <td>2746</td>\n",
+       "      <td>2501</td>\n",
+       "      <td>6845</td>\n",
+       "      <td>694</td>\n",
+       "      <td>980</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>249</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8040</td>\n",
+       "      <td>3795</td>\n",
+       "      <td>2070</td>\n",
+       "      <td>6340</td>\n",
+       "      <td>918</td>\n",
+       "      <td>291</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>252</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6623</td>\n",
+       "      <td>1860</td>\n",
+       "      <td>4740</td>\n",
+       "      <td>7683</td>\n",
+       "      <td>205</td>\n",
+       "      <td>1693</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>261</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7858</td>\n",
+       "      <td>1110</td>\n",
+       "      <td>1094</td>\n",
+       "      <td>6818</td>\n",
+       "      <td>49</td>\n",
+       "      <td>287</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>285</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40254</td>\n",
+       "      <td>640</td>\n",
+       "      <td>3600</td>\n",
+       "      <td>1042</td>\n",
+       "      <td>436</td>\n",
+       "      <td>18</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>289</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>42786</td>\n",
+       "      <td>286</td>\n",
+       "      <td>471</td>\n",
+       "      <td>1388</td>\n",
+       "      <td>32</td>\n",
+       "      <td>22</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>308</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6987</td>\n",
+       "      <td>1020</td>\n",
+       "      <td>3007</td>\n",
+       "      <td>416</td>\n",
+       "      <td>257</td>\n",
+       "      <td>656</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>316</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>7127</td>\n",
+       "      <td>1375</td>\n",
+       "      <td>2201</td>\n",
+       "      <td>2679</td>\n",
+       "      <td>83</td>\n",
+       "      <td>1059</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>321</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9155</td>\n",
+       "      <td>1897</td>\n",
+       "      <td>5167</td>\n",
+       "      <td>2714</td>\n",
+       "      <td>228</td>\n",
+       "      <td>1113</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>326</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4414</td>\n",
+       "      <td>1610</td>\n",
+       "      <td>1431</td>\n",
+       "      <td>3498</td>\n",
+       "      <td>387</td>\n",
+       "      <td>834</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>330</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9790</td>\n",
+       "      <td>1786</td>\n",
+       "      <td>5109</td>\n",
+       "      <td>3570</td>\n",
+       "      <td>182</td>\n",
+       "      <td>1043</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>377</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>38793</td>\n",
+       "      <td>3154</td>\n",
+       "      <td>2648</td>\n",
+       "      <td>1034</td>\n",
+       "      <td>96</td>\n",
+       "      <td>1242</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>408</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8257</td>\n",
+       "      <td>3880</td>\n",
+       "      <td>6407</td>\n",
+       "      <td>1646</td>\n",
+       "      <td>2730</td>\n",
+       "      <td>344</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>416</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4389</td>\n",
+       "      <td>10940</td>\n",
+       "      <td>10908</td>\n",
+       "      <td>848</td>\n",
+       "      <td>6728</td>\n",
+       "      <td>993</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Channel  Region  Fresh   Milk  Grocery  Frozen  Detergents_Paper  \\\n",
+       "0          2       3  12669   9656     7561     214              2674   \n",
+       "1          2       3   7057   9810     9568    1762              3293   \n",
+       "2          2       3   6353   8808     7684    2405              3516   \n",
+       "3          1       3  13265   1196     4221    6404               507   \n",
+       "4          2       3  22615   5410     7198    3915              1777   \n",
+       "5          2       3   9413   8259     5126     666              1795   \n",
+       "6          2       3  12126   3199     6975     480              3140   \n",
+       "8          1       3   5963   3648     6192     425              1716   \n",
+       "15         1       3  10253   1114     3821     397               964   \n",
+       "16         2       3   1020   8816    12121     134              4508   \n",
+       "19         1       3   7780   2495     9464     669              2518   \n",
+       "21         1       3   5567    871     2010    3383               375   \n",
+       "25         2       3  16165   4230     7595     201              4003   \n",
+       "29         1       3  43088   2100     2609    1200              1107   \n",
+       "53         2       3    491  10473    11532     744              5611   \n",
+       "60         2       3   8590   3045     7854      96              4095   \n",
+       "84         2       3  11867   3327     4814    1178              3837   \n",
+       "94         2       3   5626  12220    11323     206              5038   \n",
+       "102        2       3   2932   6459     7677    2561              4573   \n",
+       "106        2       3   1454   6337    10704     133              6830   \n",
+       "129        1       3  42312    926     1510    1718               410   \n",
+       "158        2       3   2861   6570     9618     930              4004   \n",
+       "160        2       3   1725   3651    12822     824              4424   \n",
+       "170        2       3    260   8675    13430    1116              7015   \n",
+       "175        2       3   2343   7845    11874      52              4196   \n",
+       "199        1       1   9670   2280     2112     520               402   \n",
+       "203        1       1    583    685     2216     469               954   \n",
+       "204        1       1   1956    891     5226    1383                 5   \n",
+       "206        1       1   6373    780      950     878               288   \n",
+       "210        1       1  18567   1895     1393    1801               244   \n",
+       "222        1       1   5041   1115     2856    7496               256   \n",
+       "229        1       1   8656   2746     2501    6845               694   \n",
+       "249        1       1   8040   3795     2070    6340               918   \n",
+       "252        1       1   6623   1860     4740    7683               205   \n",
+       "261        1       1   7858   1110     1094    6818                49   \n",
+       "285        1       3  40254    640     3600    1042               436   \n",
+       "289        1       3  42786    286      471    1388                32   \n",
+       "308        1       2   6987   1020     3007     416               257   \n",
+       "316        1       2   7127   1375     2201    2679                83   \n",
+       "321        1       2   9155   1897     5167    2714               228   \n",
+       "326        1       2   4414   1610     1431    3498               387   \n",
+       "330        1       2   9790   1786     5109    3570               182   \n",
+       "377        1       3  38793   3154     2648    1034                96   \n",
+       "408        2       3   8257   3880     6407    1646              2730   \n",
+       "416        2       3   4389  10940    10908     848              6728   \n",
+       "\n",
+       "     Delicassen  label  KM_label  \n",
+       "0          1338      3        -1  \n",
+       "1          1776      3        -1  \n",
+       "2          7844      3        -1  \n",
+       "3          1788      0         1  \n",
+       "4          5185      0        -1  \n",
+       "5          1451      3        -1  \n",
+       "6           545      3         0  \n",
+       "8           750      3         1  \n",
+       "15          412      3         1  \n",
+       "16         1080      1         3  \n",
+       "19          501      3         1  \n",
+       "21          569      3         1  \n",
+       "25           57      0         0  \n",
+       "29          823      2         2  \n",
+       "53          224      1         3  \n",
+       "60          225      3         0  \n",
+       "84          120      3         0  \n",
+       "94          244      1         3  \n",
+       "102        1386      3         4  \n",
+       "106        1831      3         4  \n",
+       "129        1819      2         2  \n",
+       "158        1682      3         4  \n",
+       "160        2157      3         4  \n",
+       "170         323      1         3  \n",
+       "175        1697      3         4  \n",
+       "199         347      3         5  \n",
+       "203          18      3         5  \n",
+       "204        1328      3         5  \n",
+       "206         285      3         5  \n",
+       "210        2100      0         5  \n",
+       "222         375      3         6  \n",
+       "229         980      3         6  \n",
+       "249         291      3         6  \n",
+       "252        1693      3         6  \n",
+       "261         287      3         6  \n",
+       "285          18      2         2  \n",
+       "289          22      2         2  \n",
+       "308         656      3         7  \n",
+       "316        1059      3         7  \n",
+       "321        1113      3         7  \n",
+       "326         834      3         7  \n",
+       "330        1043      3         7  \n",
+       "377        1242      2         2  \n",
+       "408         344      3         0  \n",
+       "416         993      1         3  "
+      ]
+     },
+     "execution_count": 229,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "KM_label.head()"
    ]
   },
   {
@@ -296,6 +2597,15 @@
     "Which algorithm appears to perform better?"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "We have more clusters with the KM_mean labels"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -364,7 +2674,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -378,7 +2688,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,