ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
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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. More... | |
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.More... | |
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.More... | |
interface | pm_clusKmeans::setKmeans |
Compute and return an iteratively-refined set of cluster centers given the input sample using the k-means approach.More... | |
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" |