Improved k-nearest neighbor classificati
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Yingquan Wu; Krassimir Ianakiev; Venu Govindaraju
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Article
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2002
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Elsevier Science
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English
β 113 KB
k-nearest neighbor (k-NN) classiΓΏcation is a well-known decision rule that is widely used in pattern classiΓΏcation. However, the traditional implementation of this method is computationally expensive. In this paper we develop two e ective techniques, namely, template condensing and preprocessing, to