KMeans clustering


KMeans clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. Its extension to Soft-KMeans allows to have soft assignment to the clusters, which in turns allows fuzzy boundaries.

More information on Wikipedia.

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