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Feature selection based on mutual information and redundancy-synergy coefficient.

Sheng Yang·Jun Gu
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Abstract

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.

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AlgorithmsArtificial IntelligenceDatabase Management SystemsDatabases, FactualGeographic Information SystemsInformation Storage and RetrievalPattern Recognition, AutomatedProgramming LanguagesSoftwareUser-Computer InterfaceComparative StudyEvaluation StudyJournal ArticleResearch Support, Non-U.S. Gov'tValidation Study

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Sheng Yang, Jun Gu. 2004. Feature selection based on mutual information and redundancy-synergy coefficient.. https://doi.org/10.1631/jzus.2004.1382

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