Collective CHI and IG feature selection method
集合CHI与IG的特征选择方法

In order to make the selected features distribute intensively in a certain class and make features appear in that certain class as many as possible, this paper added the two adjusted parameters to the originally traditional CHI-square feature selection and IG feature selection method through analyzing the relevance between features and classes. Then it proposed a collective feature selection methodCCIFby combining with CHI and IG feature selection. Experiments show that CCIF improves the Micro-Pmore apparently by comparing with the traditional CHI and IG feature selection method.