A combined nonparametric approach to feature selection and binary decision tree design

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摘要

An efficient procedure which integrates feature selection and binary decision tree construction is presented. The nonparametric approach is based on the Kolmogorov-Smirnov criterion which yields an optimal classification decision at each node. By combining the feature selection with the design of the classifier, only the most informative features are retained for classification.

论文关键词:Binary decision trees,Feature selection,Kolmogorov-Smirnov distance,Sequential classifier,Nonparametric approach

论文评审过程:Received 10 January 1980, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(80)90029-1