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.


Reference manual

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2.2.0 by Laurent Berge, 2 years ago

Browse source code at https://github.com/cran/HDclassif

Authors: Laurent Berge , Charles Bouveyron and Stephane Girard

Documentation:   PDF Manual  

Task views: Cluster Analysis & Finite Mixture Models

GPL-2 license

Imports rARPACK

Depends on grDevices, utils, graphics, stats, MASS

Suggested by FCPS, fscaret.

See at CRAN