ACO Based Feature Subset Selection for Multiple k-Nearest Neighbor Classifiers

Abstract

The k-nearest neighbor (k-NN) is one of the most popular algorithms used for classification in various fields of pattern recognition & data mining problems. In k-nearest neighbor classification, the result of a new instance query is classified based on the majority of k-nearest neighbors. Recently researchers have begun paying attention to combining a set… (More)

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Cite this paper

@inproceedings{Shrivastava2011ACOBF, title={ACO Based Feature Subset Selection for Multiple k-Nearest Neighbor Classifiers}, author={Shailendra Kumar Shrivastava and Pradeep Mewada}, year={2011} }