Order statistics learning vector quantizer

Ioannis Pitas, Constantine L. Kotropoulos, Nikos Nikolaidis, Runzhi Yang, Moncef Gabbouj · IEEE Transactions on Image Processing · 1996

We propose a novel class of learning vector quantizers (LVQs) based on multivariate data ordering principles. A special case of the novel LVQ class is the median LVQ, which uses either the marginal median or the vector median as a multivariate estimator of location. The performance of the proposed marginal median LVQ in color image quantization is demonstrated by experiments.

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