HDclassif: High Dimensional Supervised Classification and Clustering
Version 2.0.2

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.

Package details

AuthorLaurent Berge, Charles Bouveyron and Stephane Girard
Date of publication2016-12-20 15:48:24
MaintainerLaurent Berge <laurent.berge@uni.lu>
Package repositoryView on CRAN
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HDclassif documentation built on May 30, 2017, 3:13 a.m.