Description: The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.
Reference: C. Bouveyron, S. Girard and C. Schmid, High-Dimensional Data Clustering, Computational Statistics and Data Analysis, to appear, 2007
File list (Check if you may need any files):
hddc_toolbox
............\crabs.mat
............\em_hdda
............\.......\em_hdda.m
............\.......\em_hdda_devel.m
............\.......\em_hdda_old.m
............\hddc_classif.m
............\hddc_demo.m
............\hddc_learn.m
............\hddc_learn_fast.mexglx
............\source
............\......\hddc_learn.c
............\......\hddc_learn_fast.c
............\......\hddc_learn_fast.mexglx.gcc-3.x
............\......\hddc_learn_fast.mexglx.gcc-4.x
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