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Classification Bias of the k-Nearest Neighbor Algorithm
1Geometric Data, 999 West Valley Rd., Wayne PA 19087.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Abstract:
The k-nearest neighbor classifier has been used extensively in pattern analysis applications. This classifier can, however, have substantial bias when there is little class separation and the sample sizes are unequal. This classification bias is examined for the two-class situation and formulas presented that allows selection of values of k that yields minimum bias.
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