pm_clustering.F90 File Reference

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Data Types
interface	pm_clustering::setMember
	Compute and return the memberships and minimum distances of a set of input points with respect to the an input set of cluster centers. More...
interface	pm_clustering::setCenter
	Compute and return the centers of the clusters corresponding to the input sample, cluster membership IDs, and sample distances-squared from their corresponding cluster centers. More...
interface	pm_clustering::setKmeansPP
	Compute and return an asymptotically optimal set of cluster centers for the input sample, cluster membership IDs, and sample distances-squared from their corresponding cluster centers. More...
interface	pm_clustering::setKmeans
	Compute and return an iteratively-refined set of cluster centers given the input sample using the k-means approach. More...

Modules
module	pm_clustering
	This module contains procedures and routines for the computing the Kmeans clustering of a given set of data.

Variables
character(*, SK), parameter	pm_clustering::MODULE_NAME = "@pm_clustering"