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


Reference manual: HDclassif.pdf
Package source: HDclassif_1.2.2.tar.gz
Windows binaries: r-devel: HDclassif_1.2.2.zip, r-release: HDclassif_1.2.2.zip, r-oldrel: HDclassif_1.2.2.zip
OS X Snow Leopard binaries: r-release: HDclassif_1.2.2.tgz, r-oldrel: HDclassif_1.2.2.tgz
OS X Mavericks binaries: r-release: HDclassif_1.2.2.tgz
Old sources: HDclassif archive

Reverse dependencies:

Reverse suggests: fscaret