Learn R Programming

⚠️There's a newer version (2.2.2) of this package.Take me there.

HDclassif (version 2.2.0)

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.

Copy Link

Version

Install

install.packages('HDclassif')

Monthly Downloads

1,007

Version

2.2.0

License

GPL-2

Maintainer

Laurent Berge

Last Published

November 19th, 2019

Functions in HDclassif (2.2.0)

hdmda

Mixture Discriminant Analysis with HD Gaussians
simuldata

Gaussian Data Generation
wine

Wine dataset
predict.hdc

Prediction method for ‘hdc’ class objects.
slopeHeuristic

Slope Heuristic for HDDC objects
hdda

High Dimensional Discriminant Analysis
plot.hdc

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

High Dimensional Data Clustering
predict.hdmda

Prediction method for ‘hdmda’ class objects.
Crabs

Morphological Measurements on Leptograpsus Crabs.
demo_hddc

Demonstration of the clustering process of HDDC.
setHDclassif.show

Sets/gets the default 'show' argument in HDDC and HDDA
HDclassif-package

High Dimensional Discriminant Analysis and Data Clustering