HDclassif v2.1.0

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High Dimensional Supervised Classification and Clustering

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.

Functions in HDclassif

 Name Description 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. No Results!