ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
pm_clusKmeans.F90 File Reference

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Data Types

interface  pm_clusKmeans::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.
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interface  pm_clusKmeans::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.
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interface  pm_clusKmeans::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.
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interface  pm_clusKmeans::setKmeans
 Compute and return an iteratively-refined set of cluster centers given the input sample using the k-means approach.
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Modules

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

Variables

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