Edited nearest neighbor rule for improving neural networks classifications
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
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Prototype selection is primarily effective in improving the classification performance of Nearest Neighbor (NN) classifier and also partially in reducing its storage and computational requirements.This paper reviews some prototype selection algorithms for NN classification and experimentally evaluates their performance using a number of real data sets.Finally, new approaches based on combining the NN and the Nearest Centroid Neighbor (NCN) of a sample [3] are also introduced.