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Nearest prototype classification of noisy data

✍ Scribed by Fernando Fernández; Pedro Isasi


Publisher
Springer Netherlands
Year
2008
Tongue
English
Weight
446 KB
Volume
30
Category
Article
ISSN
0269-2821

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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