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.

AuthorLaurent Berge, Charles Bouveyron and Stephane Girard
Date of publication2016-12-20 15:48:24
MaintainerLaurent Berge <laurent.berge@uni.lu>
LicenseGPL-2
Version2.0.2

View on CRAN

Files in this package

HDclassif
HDclassif/inst
HDclassif/inst/CITATION
HDclassif/NAMESPACE
HDclassif/demo
HDclassif/demo/hddc.r
HDclassif/demo/HDclassif.r
HDclassif/demo/hdda.r
HDclassif/demo/00Index
HDclassif/data
HDclassif/data/Crabs.rda
HDclassif/data/wine.rda
HDclassif/R
HDclassif/R/controls.R HDclassif/R/hdc.R HDclassif/R/hdda.R HDclassif/R/mdaHD.R HDclassif/R/demo.R HDclassif/R/hddc.R
HDclassif/MD5
HDclassif/DESCRIPTION
HDclassif/ChangeLog
HDclassif/man
HDclassif/man/predict.hdc.Rd HDclassif/man/predict.hdmda.Rd HDclassif/man/wine.Rd HDclassif/man/simuldata.Rd HDclassif/man/hdda.Rd HDclassif/man/HDclassif-package.Rd HDclassif/man/plot.hdc.Rd HDclassif/man/demo_hddc.Rd HDclassif/man/Crabs.Rd HDclassif/man/slopeHeuristic.Rd HDclassif/man/hddc.Rd HDclassif/man/hdmda.Rd

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