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: 2.2.1
Depends: grDevices, utils, graphics, stats, MASS
Imports: rARPACK
Published: 2023-08-23
DOI: NA
Author: Laurent Berge, Charles Bouveyron and Stephane Girard
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_2.2.1.tar.gz
Windows binaries: r-devel: HDclassif_2.2.1.zip, r-release: HDclassif_2.2.1.zip, r-oldrel: HDclassif_2.2.1.zip
macOS binaries: r-release (arm64): HDclassif_2.2.1.tgz, r-oldrel (arm64): HDclassif_2.2.1.tgz, r-release (x86_64): HDclassif_2.2.1.tgz, r-oldrel (x86_64): HDclassif_2.2.1.tgz
Old sources: HDclassif archive

Reverse dependencies:

Reverse imports: pheble
Reverse suggests: FCPS, fscaret

Linking:

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