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Merge branch 'master' of https://github.com/lejon/T-SNE-Java
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README.md

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==========
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NEWS 2016-11-02!
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*T-SNE-Java now have support for __Barnes Hut__ which makes it possible to run the amazing t-SNE on much larger data sets (or much faster on small data sets:) )!*
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The Barnes Hut version can also be run in parallel! We have seen from 40 % performance improvements on moderate datasets (ca 10 000 samples) to 400 % improvements on larger datasets (MNIST 60000 samples) compared to standard Barnes Hut.
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This project is divided into two separate Maven projects, one for the core t-SNE and one for the demos (stand-alone executables that can be run from command line).
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With Barnes Hut, T-SNE-Java is now in version v2.2.0, both core and demos.
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Basic command line usage
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------------------------
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Run TSne on file without headers and no labels.
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```shell
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java -jar target/tsne-demos-2.2.0.jar -nohdr -nolbls src/main/resources/datasets/iris_X.txt
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java -jar target/tsne-demos-2.3.0.jar -nohdr -nolbls src/main/resources/datasets/iris_X.txt
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```
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Run TSne on CSV file with headers and label column nr. 5.
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```shell
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java -jar target/tsne-demos-2.2.0.jar --lblcolno 5 src/main/resources/datasets/iris.csv
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java -jar target/tsne-demos-2.3.0.jar --lblcolno 5 src/main/resources/datasets/iris.csv
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```
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Run TSne on file without headers and no labels but supply a separate label file (with the same ordering as the data file).
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```shell
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java -jar target/tsne-demos-2.2.0.jar --nohdr --nolbls --label_file=src/main/resources/datasets/iris_X_labels.txt src/main/resources/datasets/iris_X.txt
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java -jar target/tsne-demos-2.3.0.jar --nohdr --nolbls --label_file=src/main/resources/datasets/iris_X_labels.txt src/main/resources/datasets/iris_X.txt
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```
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Same as above but using parallelization.
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Version
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Demo: 2.2.0
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Demo: 2.3.0
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Core: 2.2.0
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