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1 parent 53a1609 commit 49ff2d9Copy full SHA for 49ff2d9
sklearn/cluster/_kmeans.py
@@ -1178,7 +1178,7 @@ class KMeans(_BaseKMeans):
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an empirical probability distribution of the points' contribution to the
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overall inertia. This technique speeds up convergence. The algorithm
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implemented is "greedy k-means++". It differs from the vanilla k-means++
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- by making several trials at each sampling step and choosing the bestcentroid
+ by making several trials at each sampling step and choosing the best centroid
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among them.
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'random': choose `n_clusters` observations (rows) at random from data
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