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Classification Bias of the k-Nearest Neighbor Algorithm

✍ Scribed by Goin, James E.


Book ID
117930738
Publisher
IEEE
Year
1984
Tongue
English
Weight
576 KB
Volume
PAMI-6
Category
Article
ISSN
0162-8828

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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