Classifiers – Related Routines

distmaha Mahalanobis distance  more routines
meancov Estimation of means and covariance matrices from multiclass data
edicon Edit and condense training sets
testk Error estimation for k-nearest neighbour rule
testp Error estimation for Parzen classifier
testn Error estimate of discriminant on normal distributions
testc General error estimation routine for trained classifiers
classc Converts a mapping into a classifier
labeld Find labels of objects by classification
rejectc Creates reject version of exisiting classifier

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.