vscc-package

Performs variable selection under a clustering or classification framework. Automated implementation using model-based clustering is based on <code>teigen</code> and <code>mclust</code>.

 package

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).
Can account for mixtures of non-Gaussian distributions via Manly transform (via 'ManlyMix').
See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2> and Neal and McNicholas (2023)
<doi:10.48550/arXiv.2305.16464>.

Paul McNicholas

vscc

Variable Selection for Clustering and Classification

Jeffrey L. Andrews

Mackenzie R. Neal

Paul D. McNicholas

vscc-package function

Jeffrey L. Andrews, Mackenzie Neal, Paul D. McNicholas
Maintainer: Paul D. McNicholas &lt;mcnicholas@math.mcmaster.ca&gt;

Package:	vscc
Type:	Package
Version:	0.5
Date:	2023-05-02
License:	GPL>=2

vscc-package: Variable Selection for Clustering and Classification

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