Use of radius weighted mean to cluster two-class data

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Use of radius weighted mean to cluster two-class data

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A new method using the radius weighted mean to cluster two-class data is proposed. Experiments show that the clustering results are good, the computation is fast, and the method is easy to implement. The method can be applied to block truncation coding, codebook generation, and decision tree construction.

Inspec keywords: image coding; vector quantisation; block codes; pattern recognition

Other keywords: block truncation coding; BTC image coding; codebook generation; two-class data clustering; decision tree construction; VQ; data compression; radius weighted mean

Subjects: Optical information, image and video signal processing; Codes; Pattern recognition; Information theory

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