Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. Peng, H., Long, F., & Ding, C. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(8):1226--1238, August, 2005.
doi  bibtex   
@Article{PengLongDing2005,
  author   = {Hanchuan Peng and Fuhui Long and C. Ding},
  title    = {Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy},
  journal  = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year     = {2005},
  volume   = {27},
  number   = {8},
  pages    = {1226--1238},
  month    = aug,
  doi      = {10.1109/TPAMI.2005.159},
  issn     = {0162-8828},
  keywords = {feature extraction;pattern classification;statistical analysis;arrhythmia;cancer cell lines;first-order incremental feature selection;handwritten digits;linear discriminate analysis;lymphoma tissues;maximal statistical dependency criterion;minimal-redundancy-maximal-relevance criterion;mutual information criteria;naive Bayes;pattern classification systems;support vector machine;Algorithm design and analysis;Cancer;Costs;Diversity reception;Mutual information;Pattern classification;Performance analysis;Redundancy;Support vector machine classification;Support vector machines;Index Terms- Feature selection;classification.;maximal dependency;maximal relevance;minimal redundancy;mutual information;Algorithms;Artificial Intelligence;Cluster Analysis;Computer Simulation;Diagnosis, Computer-Assisted;Humans;Information Storage and Retrieval;Models, Statistical;Neoplasms;Numerical Analysis, Computer-Assisted;Pattern Recognition, Automated},
}

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