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An optimal -nearest neighbor for density estimation

✍ Scribed by Yi-Hung Kung; Pei-Sheng Lin; Cheng-Hsiung Kao


Book ID
116890550
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
277 KB
Volume
82
Category
Article
ISSN
0167-7152

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A novel neuralnet-based method of constructing optimized prototypes for nearest-neighbor classiΓΏers is proposed. Based on an e ective classiΓΏcation oriented error function containing class classiΓΏcation and class separation components, the corresponding prototype and feature weight update rules are