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HDclassif (version 2.1.0)

High Dimensional Supervised Classification and Clustering

Description

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.

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Version

Install

install.packages('HDclassif')

Monthly Downloads

696

Version

2.1.0

License

GPL-2

Maintainer

Laurent Berge

Last Published

May 11th, 2018

Functions in HDclassif (2.1.0)

HDclassif-package

High Dimensional Discriminant Analysis and Data Clustering
demo_hddc

Demonstration of the clustering process of HDDC.
hdda

High Dimensional Discriminant Analysis
slopeHeuristic

Slope Heuristic for HDDC objects
predict.hdmda

Prediction method for ‘hdmda’ class objects.
simuldata

Gaussian Data Generation
hdmda

Mixture Discriminant Analysis with HD Gaussians
Crabs

Morphological Measurements on Leptograpsus Crabs.
plot.hdc

Cattell's Scree-Test for 'hdc' class objects.
hddc

High Dimensional Data Clustering
wine

Wine dataset
predict.hdc

Prediction method for ‘hdc’ class objects.