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.

Version: 1.0
Depends: lpSolveAPI
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: clusterGeneration, mclust
Published: 2014-06-12
Author: Stefano Benati
Maintainer: Stefano Benati <stefano.benati at unitn.it>
License: GPL-2
NeedsCompilation: yes
CRAN checks: qVarSel results

Downloads:

Reference manual: qVarSel.pdf
Package source: qVarSel_1.0.tar.gz
Windows binaries: r-devel: qVarSel_1.0.zip, r-release: qVarSel_1.0.zip, r-oldrel: qVarSel_1.0.zip
OS X Mavericks binaries: r-release: qVarSel_1.0.tgz, r-oldrel: qVarSel_1.0.tgz

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