A Matlab toolbox for pattern recognition Imported pages from 37Steps

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Classifiers – Linear and Quadratic

fishercMinimum least square linear classifier more routines
ldcNormal densities based linear (multi-class) classifier
loglcLogistic linear classifier
nmcNearest mean linear classifier
nmscScaled nearest mean linear classifier
qdcNormal densities based quadratic (multi-class) classifier
udcUncorrelated normal densities based quadratic classifier
statslincStatistical toolbox linear 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:IntroductionScatterplotsDatasets Datafiles Mappings Classifiers Evaluation Learning curves Feature curves Dimension reductionCombining classifiers Dissimilarities.
advanced examples.