KDDClusteringLab/dbscan_many_clusters.txt at master · apinto17/KDDClusteringLab · GitHub

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minPoints: 5
Radius: 6.000000
Outliers: 12
Outliers in percent: 0.164384
Cluster: 0
10 Points:
[38,45]
[42,43]
[40,42]
[41,41]
[44,41]
[40,40]
[44,40]
[43,37]
[38,36]
[38,33]
End cluster 0
Cluster: 1
9 Points:
[24,49]
[19,44]
[23,44]
[22,43]
[24,43]
[26,43]
[23,42]
[20,39]
[26,37]
End cluster 1
Cluster: 2
12 Points:
[10,41]
[ 3,38]
[ 6,37]
[ 8,37]
[ 7,36]
[13,36]
[ 6,35]
[ 8,35]
[10,34]
[ 5,33]
[ 9,32]
[11,28]
End cluster 2
Cluster: 3
13 Points:
[31,30]
[35,30]
[28,28]
[34,27]
[36,27]
[37,26]
[35,25]
[39,25]
[37,24]
[41,23]
[31,21]
[38,21]
[39,16]
End cluster 3
Cluster: 4
6 Points:
[39,11]
[44, 8]
[42, 7]
[41, 6]
[43, 6]
[43, 5]
End cluster 4
Cluster: 5
11 Points:
[12,10]
[16, 9]
[5,8]
[9,7]
[11, 7]
[10, 6]
[13, 6]
[9,5]
[11, 5]
[10, 3]
[14, 1]
End cluster 5
Outliers:
[26,33]
[46,30]
[18,26]
[ 9,23]
[23,19]
[50,19]
[11,18]
[31,17]
[44,15]
[ 7,14]
[21,13]
[27, 3]