A Matlab toolbox for pattern recognition Imported pages from 37Steps

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prex_clevallearning curvesmore routines
prex_combiningclassifier combining
prex_confmatconfusion matrix, scatterplot and gridsize
prex_datafiledatafile usage
prex_datasetsstandard datasets
prex_densityVarious density plots
prex_eigenfacesUse of images and eigenfaces
prex_matchlabK-means clustering and matching labels
prex_mcplotMulti-class classifier plot
prex_plotcDataset scatter and classifier plot
prex_somTraining a SelfOrganizing Maps
prex_spatmSpatial smoothing of image classification
prex_costCost matrices and rejection
prex_logdensDensity based classifier improvement
prex_softSoft label example
prex_regrRegression example

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.