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Feature selection based on mutual information and redundancy-synergy coefficient 被引量:7
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作者 杨胜 顾钧 《Journal of Zhejiang University Science》 EI CSCD 2004年第11期1382-1391,共10页
Mutual information is an important information measure for feature subset. In this paper, a hashing mechanism is proposed to calculate the mutual information on the feature subset. Redundancy-synergy coefficient, a no... Mutual information is an important information measure for feature subset. In this paper, a hashing mechanism is proposed to calculate the mutual information on the feature subset. Redundancy-synergy coefficient, a novel redundancy and synergy measure of features to express the class feature, is defined by mutual information. The information maximization rule was applied to derive the heuristic feature subset selection method based on mutual information and redundancy-synergy coefficient. Our experiment results showed the good performance of the new feature selection method. 展开更多
关键词 共享信息 特征选择 机器学习 数据采集 冗余协同系数
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