HDclassif: High Dimensional Supervised Classification and Clustering

Discriminant analysis and data clustering methods for high dimensional data, based on the assumption that high-dimensional data live in different subspaces with low dimensionality proposing a new parametrization of the Gaussian mixture model which combines the ideas of dimension reduction and constraints on the model.

Version: 1.2.2
Depends: graphics, stats, MASS
Published: 2013-01-08
Author: Laurent Bergé, Charles Bouveyron and Stéphane Girard
Maintainer: Laurent Bergé <laurent.berge at hotmail.fr>
License: GPL-2
NeedsCompilation: no
Citation: HDclassif citation info
Materials: ChangeLog
In views: Cluster
CRAN checks: HDclassif results

Downloads:

Reference manual: HDclassif.pdf
Package source: HDclassif_1.2.2.tar.gz
OS X binary: HDclassif_1.2.2.tgz
Windows binary: HDclassif_1.2.2.zip
Old sources: HDclassif archive

Reverse dependencies:

Reverse suggests: fscaret