Prove that k-means always returns clusters
Machine Learning · from Clustering
KMeansinertiasilhouette_scoreDBSCANGaussianMixturecluster profilingPutting the kettle on…
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Exercise 3
Prove that k-means always returns clusters. Fit k=3 on pure random noise of the same shape and return [n_clusters_found, silhouette], score rounded to 3 places.
your answer
stuck? the lesson behind it
Clustering
k-means always returns clusters — which is not evidence that clusters exist