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Abstract

Roberto Paredes, Enrique Vidal. A class-dependent weighted dissimilarity measure for nearest neighbor classification problems.. Pattern Recognition Letters., 2000. Vol. 21 pp. 1027-1036.

A class-dependent weighted (CDW) dissimilarity measure in vector spaces is proposed to improve the performance of the nearest neighbor classifier. In order to optimize the required weights, an approach based on Fractional Programming is presented. Experiments with several standard benchmark data sets show the effectiveness of the proposed technique.