Representation – Feature Selection

feateval Evaluation of a feature set  more routines
featrank Ranking of individual feature permormances
featsel Feature Selection
featselb Backward feature selection
featself Forward feature selection
featsellr Plus-l-takeaway-r feature selection
featseli Feature selection on individual performance
featselo Branch and bound feature selection
featselp Floating forward feature selection
featselv Selection of varying features

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.