Representation – Density Estimation

gaussm Mixture of Gaussians density estimation more routines
knnm k-Nearest neighbor density estimation
parzenm Parzen density estimation
parzenml Optimization of smoothing parameter in Parzen density estimation.

elements: datasets datafiles cells and doubles mappings classifiers mapping types.
operations: datasets datafiles cells and doubles mappings classifiers stacked parallel sequential dyadic.
user commands: datasets representation classifiers evaluation clustering examples support routines.
introductory examples: Introduction Scatterplots Datasets Datafiles Mappings Classifiers Evaluation Learning curves Feature curves Dimension reduction Combining classifiers Dissimilarities.
advanced examples.