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: 2.2.2
Depends: grDevices, utils, graphics, stats, MASS
Imports: rARPACK
Published: 2025-03-20
DOI: 10.32614/CRAN.package.HDclassif
Author: Laurent Berge [aut, cre], Charles Bouveyron [aut], Stephane Girard [aut]
Maintainer: Laurent Berge <laurent.berge at u-bordeaux.fr>
License: GPL-2
NeedsCompilation: no
Citation: HDclassif citation info
Materials: README NEWS ChangeLog
In views: Cluster
CRAN checks: HDclassif results

Documentation:

Reference manual: HDclassif.pdf

Downloads:

Package source: HDclassif_2.2.2.tar.gz
Windows binaries: r-devel: HDclassif_2.2.1.zip, r-release: HDclassif_2.2.1.zip, r-oldrel: HDclassif_2.2.2.zip
macOS binaries: r-devel (arm64): HDclassif_2.2.2.tgz, r-release (arm64): HDclassif_2.2.2.tgz, r-oldrel (arm64): HDclassif_2.2.2.tgz, r-devel (x86_64): HDclassif_2.2.2.tgz, r-release (x86_64): HDclassif_2.2.2.tgz, r-oldrel (x86_64): HDclassif_2.2.2.tgz
Old sources: HDclassif archive

Reverse dependencies:

Reverse imports: pheble
Reverse suggests: FCPS, fscaret, SDModels

Linking:

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