R: High Dimensional Supervised Classification and Clustering

# High Dimensional Supervised Classification and Clustering

## Documentation for package ‘HDclassif’ version 2.2.2

- DESCRIPTION file
- Code demos. Use demo() to run them.
- Package NEWS
- Package README

## Help Pages

HDclassif-package | High Dimensional Discriminant Analysis and Data Clustering
Crabs | Morphological Measurements on Leptograpsus Crabs.
demo_hddc | Demonstration of the clustering process of HDDC.
getHDclassif.show | Sets/gets the default 'show' argument in HDDC and HDDA
HDclassif | High Dimensional Discriminant Analysis and Data Clustering
hdda | High Dimensional Discriminant Analysis
hddc | High Dimensional Data Clustering
hdmda | Mixture Discriminant Analysis with HD Gaussians
plot.hdc | Cattell's Scree-Test for 'hdc' class objects.
predict.hdc | Prediction method for 'hdc' class objects.
predict.hdmda | Prediction method for 'hdmda' class objects.
setHDclassif.show | Sets/gets the default 'show' argument in HDDC and HDDA
simuldata | Gaussian Data Generation
slopeHeuristic | Slope Heuristic for HDDC objects
wine | Wine dataset