Hi, I am using KMeans for clustering purpose on my data.
I am interested in the distance function used by KMeans for creating clusters and determining the cluster points. I have read the http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html#sklearn-cluster-kmeans documentation but was not able to find the method used. If possible please give a example as to how it is done. from sklearn.cluster import KMeans KMeans(max_iter=4,n_clusters=10,n_init=10).fit(X) where X has 14 features lets say for example [0, 0, 2, 8, 0, 0, 3, 16, 8, 39, 1, 0, 0, 2] [0, 0, 3, 9, 0, 0, 3, 1, 8, 9, 1, 0, 0, 1] Also if you can show me how KMeans can be implemented on my data it would certainly help. -- Regards
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