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.

Author
Stefano Benati
Date of publication
2014-06-12 16:42:34
Maintainer
Stefano Benati <stefano.benati@unitn.it>
License
GPL-2
Version
1.0

View on CRAN

Man pages

PrtDist
Calculation of the distances between units and centers
qVarSelH
Selection of Variables for Clustering or Data Dimension...
qVarSelLP
A Mixed Integer Linear Programming Formulation for the...
qVarSel-package
Selecting Variables for Clustering and Classification

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