KCLUS -- K-Means Clustering

Performs unsupervised clustering using the K-means (Minimum Distance) method on image data for up to 255 clusters (classes) and 16 channels. The output is a theme map directed database image channel.

See Also: ISOCLUS, NGCLUS, NGCLUS2, MLC, PCTMAKE, AGGREG

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