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IEEE/ICACT20210143 Question.1
Questioner: xiaochunyin@wfust.edu.cn    2021-02-09 ¿ÀÈÄ 4:06:05
IEEE/ICACT20210143 Answer.1
Answer by Auhor st.lzg@163.com   2021-02-09 ¿ÀÈÄ 4:06:05
Could authors give more description about "Enhanced information entropy"? Thanks for questions. In order to use entropy in feature extraction, conditional probability is introduced into entropy definition. Now entropy is calculated based on event probability. Every feature value is treated as event. Thus, event entropy means the distribution of value. And we define S(i, l), which means the entropy of i-th feature value in single classification of l.

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