Prototype optimization for nearest-neigh
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Y.S. Huang; C.C. Chiang; J.W. Shieh; E. Grimson
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Article
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2002
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Elsevier Science
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English
⚖ 238 KB
A novel neuralnet-based method of constructing optimized prototypes for nearest-neighbor classiÿers is proposed. Based on an e ective classiÿcation oriented error function containing class classiÿcation and class separation components, the corresponding prototype and feature weight update rules are