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.
| Version: | 1.0 |
| Depends: | lpSolveAPI |
| Imports: | Rcpp (≥ 0.11.0) |
| LinkingTo: | Rcpp |
| Suggests: | clusterGeneration, mclust |
| Published: | 2014-06-12 |
| Author: | Stefano Benati |
| Maintainer: | Stefano Benati <stefano.benati at unitn.it> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | qVarSel results |
| Reference manual: | qVarSel.pdf |
| Package source: | qVarSel_1.0.tar.gz |
| Windows binaries: | r-devel: qVarSel_1.0.zip, r-release: qVarSel_1.0.zip, r-oldrel: qVarSel_1.0.zip |
| OS X El Capitan binaries: | r-release: qVarSel_1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: qVarSel_1.0.tgz |
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