Description: The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier 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 Discriminant Analysis, Communications in Statistics: Theory and Methods, vol. 36 (14), 2007.
File list (Check if you may need any files):
hdda_toolbox
............\hdda_classif.m
............\hdda_demo.m
............\hdda_find_seuil.m
............\hdda_learn.m
............\hd_data.mat
............\README
............\simul_data.m
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