K-groups implements energy clustering for a specified number k classes by energy distance criterion, analogous to the k classes of the k-means algorithm. K-groups is based on a characterization of equality of distributions; thus k-groups separates clusters based on all types of differences in distributions, which is more general than k-means, which is based only on differences in means.
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