A Matlab toolbox for pattern recognition Imported pages from 37Steps

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Clustering and Distances

distmDistance matrix between two data sets.more routines
emclustExpectation – maximization clustering
proxmProximity mapping and kernel construction
hclustHierarchical clustering
kcentresk-centres clustering
kmeansk-means clustering
modeseekClustering by modeseeking
mdsNon-linear mapping by multi-dimensional scaling (Sammon)
mds_csLinear mapping by classical scaling
mds_initInitialisation of multi-dimensional scaling
mds_stressDissimilarity of distance matrices

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.