CLUSTER
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CLUSTER
CMeans
—
performs c-means clustering
CreateDistanceMatrix
—
calculates the distances between vectors.
FuzzyCMeans
—
performs fuzzy c-means clustering.
FuzzyQuantizationError
—
calculates the fuzzy quantization error.
GetDaviesBouldinIndex
—
calculates the Davies-Bouldin index.
GetFuzzyMemberships
—
calculates the membership values of vectors in fuzzy clusters.
GetNearestNeighbor
—
calculates for each sample vector the nearest neighbor among a set of cluster centers.
GetPlaceOnSOM
—
maps sample vectors to places on self organizing map.
GetQuantizationError
—
calculates the sum of distances between sample vectors and cluster centers.
GetXieBeniIndex
—
calculates the Xie-Beni index.
InitSOM
—
initializes the weight vectors of a self organizing map (SOM) with a regular grid.
PCAScatterPlot
—
performs a 2D principal component analysis (PCA) and visualizes it.
SelectRandomly
—
selects a specified number of vectors from a set randomly.
TrainSOM
—
trains a self organizing map (SOM).
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CLUSTER