{"id":"https://openalex.org/W1965771882","doi":"https://doi.org/10.1109/iceee.2010.5608600","title":"Mutual information and intrinsic dimensionality for feature selection","display_name":"Mutual information and intrinsic dimensionality for feature selection","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1965771882","doi":"https://doi.org/10.1109/iceee.2010.5608600","mag":"1965771882"},"language":"en","primary_location":{"id":"doi:10.1109/iceee.2010.5608600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2010.5608600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"W. Gomez","orcid":null},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"W. Gomez","raw_affiliation_strings":["Inf. Technol. Lab., CINVESTAV-IPN, Victoria, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inf. Technol. Lab., CINVESTAV-IPN, Victoria, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008103986","display_name":"L. Leija","orcid":"https://orcid.org/0000-0001-8437-6520"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"L. Leija","raw_affiliation_strings":["Department of Electrical Engineering, CINVESTAV, Mexicali, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, CINVESTAV, Mexicali, Mexico","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":1.3597,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80937186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"339","last_page":"344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7966436743736267},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.7961376905441284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7254587411880493},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7091540694236755},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6867179274559021},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6583529710769653},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6543427109718323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6299437880516052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.582902193069458},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.574819028377533},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.545272946357727},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5198850631713867},{"id":"https://openalex.org/keywords/minimum-redundancy-feature-selection","display_name":"Minimum redundancy feature selection","score":0.48081982135772705},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4631566107273102},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36970967054367065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2903013527393341},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18362534046173096}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7966436743736267},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.7961376905441284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7254587411880493},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7091540694236755},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6867179274559021},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6583529710769653},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6543427109718323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6299437880516052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.582902193069458},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.574819028377533},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.545272946357727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5198850631713867},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.48081982135772705},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4631566107273102},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36970967054367065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2903013527393341},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18362534046173096},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceee.2010.5608600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2010.5608600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W2011150423","https://openalex.org/W2030876210","https://openalex.org/W2038300678","https://openalex.org/W2040884411","https://openalex.org/W2097324757","https://openalex.org/W2131987814","https://openalex.org/W2135346934","https://openalex.org/W2153635508","https://openalex.org/W2154053567","https://openalex.org/W2157169955","https://openalex.org/W2158698691","https://openalex.org/W2189460232","https://openalex.org/W2568830032","https://openalex.org/W3120421331","https://openalex.org/W3120740533","https://openalex.org/W4285719527","https://openalex.org/W6638831772","https://openalex.org/W6683389101"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3164528651","https://openalex.org/W2985680200"],"abstract_inverted_index":{"In":[0],"this":[1],"article":[2],"we":[3],"proposed":[4],"a":[5],"feature":[6,24,86,98],"selection":[7,99],"method":[8],"based":[9],"on":[10],"mutual":[11],"information":[12],"(MI)":[13],"and":[14,58,84,92],"intrinsic":[15],"dimensionality":[16],"(ID)":[17],"estimators.":[18],"First,":[19],"MI":[20,91],"ranks":[21],"the":[22,35,42,46,80,102],"normalized":[23],"space":[25],"in":[26],"accordance":[27],"to":[28,40,69,100],"minimal-redundancy-maximal-relevance":[29],"(mRMR)":[30],"criterion.":[31],"Next,":[32],"ID":[33,51,93],"estimates":[34],"minimum":[36],"number":[37],"of":[38,45,50],"features":[39],"represent":[41],"observed":[43],"properties":[44],"data.":[47],"Two":[48],"techniques":[49,96],"were":[52],"tested:":[53],"principal":[54],"component":[55],"analysis":[56,78],"(PCA)":[57],"maximum":[59],"likelihood":[60],"estimator":[61],"(MLE).":[62],"Support":[63],"vector":[64],"machine":[65],"(SVM)":[66],"was":[67],"used":[68],"classify":[70],"five":[71],"medical":[72],"datasets.":[73],"Receiver":[74],"operating":[75],"characteristics":[76],"(ROC)":[77],"evaluated":[79],"classification":[81,103],"performance":[82],"before":[83],"after":[85],"selection.":[87],"Results":[88],"showed":[89],"that":[90],"are":[94],"effective":[95],"for":[97],"reduce":[101],"error.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
