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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: 10.32614/CRAN.package.HDclassif
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:

Please use the canonical form https://CRAN.R-project.org/package=HDclassif to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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