关键词: 特征选择, 混叠熵, 误差熵, 相似度, 特征评价, 信息测度

Abstract: This paper applies the entropy concept of information theory to feature selection，and defines two information measurements overlap entropy and error entropy that are used to evaluate features.Then the physical meanings of the two definiens are explained.The crucial problem about how to divide the interzones is provided in the following.Then this paper adds a kind of similarity to form a complete feature selection process in order to involve the defect of entropy that it can not filter similar features.An emulation is made to prove the validity of this method at the end.

Key words: feature selection, overlap-entropy, erro-entropy, similarity, feature evalution, information measurement