vscc: Variable selection for clustering and classification

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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).

Author
Jeffrey L. Andrews, Paul D. McNicholas
Date of publication
2013-11-17 08:24:55
Maintainer
Jeffrey L. Andrews <jeffrey.andrews@macewan.ca>
License
GPL (>= 2)
Version
0.2

View on CRAN

Man pages

plot.vscc
Plotting for vscc objects
print.vscc
Printing for vscc
summary.vscc
Summary for VSCC
vscc
Variable selection for clustering and classification
vscc-package
Variable selection for clustering and classification

Files in this package

vscc
vscc/inst
vscc/inst/CITATION
vscc/NAMESPACE
vscc/R
vscc/R/summary.vscc.R
vscc/R/plot.vscc.R
vscc/R/vscc.R
vscc/R/print.vscc.R
vscc/MD5
vscc/DESCRIPTION
vscc/man
vscc/man/print.vscc.Rd
vscc/man/plot.vscc.Rd
vscc/man/vscc.Rd
vscc/man/summary.vscc.Rd
vscc/man/vscc-package.Rd