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: 2.2.0
Depends: grDevices, utils, graphics, stats, MASS
Imports: rARPACK
Published: 2019-11-19
Author: Laurent Berge, Charles Bouveyron and Stephane Girard
Maintainer: Laurent Berge <laurent.berge at uni.lu>
License: GPL-2
NeedsCompilation: no
Citation: HDclassif citation info
Materials: NEWS ChangeLog
In views: Cluster
CRAN checks: HDclassif results


Reference manual: HDclassif.pdf


Package source: HDclassif_2.2.0.tar.gz
Windows binaries: r-devel: HDclassif_2.2.0.zip, r-release: HDclassif_2.2.0.zip, r-oldrel: HDclassif_2.2.0.zip
macOS binaries: r-release (arm64): HDclassif_2.2.0.tgz, r-oldrel (arm64): HDclassif_2.2.0.tgz, r-release (x86_64): HDclassif_2.2.0.tgz, r-oldrel (x86_64): HDclassif_2.2.0.tgz
Old sources: HDclassif archive

Reverse dependencies:

Reverse imports: pheble
Reverse suggests: FCPS, fscaret


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