{"_id":"LNn9KqKMfLGxDACYq","bibbaseid":"peng-long-ding-featureselectionbasedonmutualinformationcriteriaofmaxdependencymaxrelevanceandminredundancy-2005","downloads":0,"creationDate":"2016-04-30T08:54:39.649Z","title":"Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy","author_short":["Peng, H.","Long, F.","Ding, C."],"year":2005,"bibtype":"article","biburl":"http://wpd.ugr.es/~fjesusmartinez/wp-content/uploads/2016/09/pachus-mod.bib","bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Hanchuan"],"propositions":[],"lastnames":["Peng"],"suffixes":[]},{"firstnames":["Fuhui"],"propositions":[],"lastnames":["Long"],"suffixes":[]},{"firstnames":["C."],"propositions":[],"lastnames":["Ding"],"suffixes":[]}],"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":"August","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","bibtex":"@Article{PengLongDing2005,\n author = {Hanchuan Peng and Fuhui Long and C. Ding},\n title = {Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy},\n journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},\n year = {2005},\n volume = {27},\n number = {8},\n pages = {1226--1238},\n month = aug,\n doi = {10.1109/TPAMI.2005.159},\n issn = {0162-8828},\n 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},\n}\n\n","author_short":["Peng, H.","Long, F.","Ding, C."],"key":"PengLongDing2005","id":"PengLongDing2005","bibbaseid":"peng-long-ding-featureselectionbasedonmutualinformationcriteriaofmaxdependencymaxrelevanceandminredundancy-2005","role":"author","urls":{},"keyword":["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"],"downloads":0},"search_terms":["feature","selection","based","mutual","information","criteria","max","dependency","max","relevance","min","redundancy","peng","long","ding"],"keywords":["cancer cell lines","feature extraction","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","pattern classification systems","statistical analysisarrhythmia","support vector machine","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"],"authorIDs":[],"dataSources":["dWW3j9XN4xTKk2o3d"]}