GitHub - ehartz01/kmeans_clustering_experiment: The K-Means Clustering Algorithm on Iris and other datasets

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
README		README
artdata0.5.arff		artdata0.5.arff
artdata0.5_k.png		artdata0.5_k.png
artdata0.5_k2.png		artdata0.5_k2.png
artdata0.5_nmi.png		artdata0.5_nmi.png
artdata1.arff		artdata1.arff
artdata1_k.png		artdata1_k.png
artdata1_k2.png		artdata1_k2.png
artdata1_nmi.png		artdata1_nmi.png
artdata2.arff		artdata2.arff
artdata2_k.png		artdata2_k.png
artdata2_k2.png		artdata2_k2.png
artdata2_nmi.png		artdata2_nmi.png
artdata3.arff		artdata3.arff
artdata3.png		artdata3.png
artdata3_k.png		artdata3_k.png
artdata3_k2.png		artdata3_k2.png
artdata3_nmi.png		artdata3_nmi.png
artdata4.arff		artdata4.arff
artdata4_k.png		artdata4_k.png
artdata4_k2.png		artdata4_k2.png
artdata4_nmi.png		artdata4_nmi.png
ionosphere.arff		ionosphere.arff
ionosphere_k.png		ionosphere_k.png
ionosphere_k2.png		ionosphere_k2.png
ionosphere_nmi.png		ionosphere_nmi.png
iris.arff		iris.arff
iris_k.png		iris_k.png
iris_k2.png		iris_k2.png
iris_nmi.png		iris_nmi.png
kmeans.py		kmeans.py
myfile.zip		myfile.zip
soybean-processed.arff		soybean-processed.arff
soybean_k.png		soybean_k.png
soybean_k2.png		soybean_k2.png
soybean_nmi.png		soybean_nmi.png
writeup.pdf		writeup.pdf

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README

To run the experiments enter "python kmeans.py" into the command line. This will run the any .arff files in this folder through the clustering experiments. The graphs will pop up as they are produced.