qVarSel: Variables Selection for Clustering and Classification

For a given data matrix A and cluster centers/prototypes collected in the matrix P, the functions described here select a subset of statistic variables Q that mostly explains/justifies P as prototypes. The functions are useful to reduce the data dimension for classification and to discard masking variables for clustering.

Package details

AuthorStefano Benati
MaintainerStefano Benati <stefano.benati@unitn.it>
Package repositoryView on CRAN
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qVarSel documentation built on May 2, 2019, 9:28 a.m.