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).

Package details

AuthorJeffrey L. Andrews, Paul D. McNicholas
Date of publication2013-11-17 08:24:55
MaintainerJeffrey L. Andrews <[email protected]>
LicenseGPL (>= 2)
Version0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("vscc")

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vscc documentation built on May 29, 2017, 11:58 a.m.