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

Documentation:

Reference manual:

vscc.pdf

Downloads:

Package source:	vscc_0.2.tar.gz
Windows binaries:	r-devel: vscc_0.2.zip, r-release: vscc_0.2.zip, r-oldrel: vscc_0.2.zip
macOS binaries:	r-release (arm64): vscc_0.2.tgz, r-oldrel (arm64): vscc_0.2.tgz, r-release (x86_64): vscc_0.2.tgz, r-oldrel (x86_64): vscc_0.2.tgz

Linking:

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