qVarSel: Variables Selection for Clustering and Classification

For a given data matrix A and cluster centers/prototypes collected in the matrix P, the functions described here select a subset of statistic variables Q that mostly explains/justifies P as prototypes. The functions are useful to reduce the data dimension for classification and to discard masking variables for clustering.

AuthorStefano Benati
Date of publication2014-06-12 16:42:34
MaintainerStefano Benati <stefano.benati@unitn.it>
LicenseGPL-2
Version1.0

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Files in this package

qVarSel
qVarSel/src
qVarSel/src/qVarSelH.cpp
qVarSel/src/RcppExports.cpp
qVarSel/NAMESPACE
qVarSel/R
qVarSel/R/RcppExports.R qVarSel/R/qVarSelLP.R
qVarSel/MD5
qVarSel/DESCRIPTION
qVarSel/man
qVarSel/man/qVarSelH.Rd qVarSel/man/PrtDist.Rd qVarSel/man/qVarSel-package.Rd qVarSel/man/qVarSelLP.Rd

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