vscc: Variable selection for clustering and classification

Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods (tEIGEN and MCLUST are currently supported).

Version: 0.2
Imports: teigen, mclust
Published: 2013-11-17
Author: Jeffrey L. Andrews, Paul D. McNicholas
Maintainer: Jeffrey L. Andrews <jeffrey.andrews at macewan.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: vscc citation info
CRAN checks: vscc results


Reference manual: vscc.pdf
Package source: vscc_0.2.tar.gz
Windows binaries: r-devel: vscc_0.2.zip, r-devel-gcc8: vscc_0.2.zip, r-release: vscc_0.2.zip, r-oldrel: vscc_0.2.zip
OS X binaries: r-release: vscc_0.2.tgz, r-oldrel: vscc_0.2.tgz


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