Description: : The concept of entropy in information theory applied to feature selection, the definition of information measure evaluation of two features- error entropy and mixing entropy, and then describes the two definitions do not have the physical meaning of the calculation of entropy in the range of the most critical partitioning problem and propose a better method of interval division.
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特征选择中信息熵的应用.pdf
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