vscc: Variable selection for clustering and classification
Version 0.2

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).

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AuthorJeffrey L. Andrews, Paul D. McNicholas
Date of publication2013-11-17 08:24:55
MaintainerJeffrey L. Andrews <jeffrey.andrews@macewan.ca>
LicenseGPL (>= 2)
Version0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("vscc")

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

Functions

plot.vscc Man page Source code
print.vscc Man page Source code
summary.vscc Man page Source code
vscc Man page Source code
vscc-package Man page

Files

inst
inst/CITATION
NAMESPACE
R
R/summary.vscc.R
R/plot.vscc.R
R/vscc.R
R/print.vscc.R
MD5
DESCRIPTION
man
man/print.vscc.Rd
man/plot.vscc.Rd
man/vscc.Rd
man/summary.vscc.Rd
man/vscc-package.Rd
vscc documentation built on May 19, 2017, 9:37 a.m.