Classifiers – Various

nbayesc Bayes classifier for given normal densities  more routines
mogc Mixture of gaussians classification
knnc k-nearest neighbour classifier (find k, build classifier)
statsknnc Statistical toolbox nearest neighbor classifier
parzenc Parzen classifier
parzendc Parzen density based classifier
adaboostc ADABoost classifier
rfishercc Random Fisher combining classifier
treec Construct binary decision tree classifier
dtc Decision tree classifier, rewritten, also for nominal features
statsdtc Statistical toolbox decision tree
randomforestc Breiman’s random forest classifier
naivebc Naive Bayes classifier
statsnbc Statistical toolbox naive Bayes classifier
fdsc Feature based dissimilarity space 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.

 
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