prex_cleval learning curves more routines
prex_combining classifier combining
prex_confmat confusion matrix, scatterplot and gridsize
prex_datafile datafile usage
prex_datasets standard datasets
prex_density Various density plots
prex_eigenfaces Use of images and eigenfaces
prex_matchlab K-means clustering and matching labels
prex_mcplot Multi-class classifier plot
prex_plotc Dataset scatter and classifier plot
prex_som Training a SelfOrganizing Maps
prex_spatm Spatial smoothing of image classification
prex_cost Cost matrices and rejection
prex_logdens Density based classifier improvement
prex_soft Soft label example
prex_regr Regression example

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.