Classifiers – Support Vector Machine

libsvc Support vector classifier by LIBSVM  more routines
nulibsvc Support vector classifier by LIBSVM
rblibsvc Radial basis SV classifier by LIBSVM
pklibsvc Radial basis SV classifier by LIBSVMand kernel estimate by parzenc
svc Support vector classifier
nusvc Support vector classifier
pksvc Radial basis SV classifier and kernel estimate by parzenc
rbsvc Radial basis SV classifier
statssvc Support vector classifier based on Matlab’s Stats toolbox (svmtrain)
pkstatssvc Radial basis SV classifier based on Matlab’s Stats toolbox, kernel estimate by parzenc
rbstatssvc Radial basis SV classifier based on Matlab’s Stats toolbox, optimized kernel

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.