Feature-weighted k-nearest neighbor classifier

被引:17
|
作者
Vivencio, Diego P. [1 ]
Hruschka, Estevarn R., Jr. [1 ]
Nicoletti, M. do Carmo [1 ]
dos Santos, Edimilson B. [1 ]
Galvao, Sebastian D. C. O. [1 ]
机构
[1] DC UFSCar, Sao Carlos, SP, Brazil
关键词
feature selection; instance-based learning; feature ranking;
D O I
10.1109/FOCI.2007.371516
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a feature weighting method based on X-2 statistical test, to be used in conjunction with a k-NN classifier. Results of empirical experiments conducted using data from several knowledge domains are presented and discussed. Forty four out of forty five conducted experiments favoured the feature weighted approach and are empirical evidence that the proposed weighting process based on X-2 is a good weighting strategy.
引用
收藏
页码:481 / +
页数:2
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