{"id":"https://openalex.org/W1566259545","doi":"https://doi.org/10.1109/cec.2015.7257255","title":"Evolutionary multi-objective distance metric learning for multi-label clustering","display_name":"Evolutionary multi-objective distance metric learning for multi-label clustering","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1566259545","doi":"https://doi.org/10.1109/cec.2015.7257255","mag":"1566259545"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2015.7257255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7257255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","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":"https://openalex.org/A5056811514","display_name":"Taishi Megano","orcid":null},"institutions":[{"id":"https://openalex.org/I107139324","display_name":"Kagoshima University","ror":"https://ror.org/03ss88z23","country_code":"JP","type":"education","lineage":["https://openalex.org/I107139324"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Taishi Megano","raw_affiliation_strings":["Graduate School of Science and Engineering, Kagoshima University Kagoshima, Japan","Graduate School of Science and Engineering; Kagoshima University; Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Kagoshima University Kagoshima, Japan","institution_ids":["https://openalex.org/I107139324"]},{"raw_affiliation_string":"Graduate School of Science and Engineering; Kagoshima University; Japan","institution_ids":["https://openalex.org/I107139324"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075653507","display_name":"Ken\u2013ichi Fukui","orcid":"https://orcid.org/0000-0002-2451-1919"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]},{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ken-ichi Fukui","raw_affiliation_strings":["Institute of Scientific and Industrial Research, Osaka University Osaka, Japan","The Institute of Scientific and Industrial Research, Osaka University, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Scientific and Industrial Research, Osaka University Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]},{"raw_affiliation_string":"The Institute of Scientific and Industrial Research, Osaka University, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002214819","display_name":"Masayuki Numao","orcid":"https://orcid.org/0000-0002-4890-1970"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]},{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Numao","raw_affiliation_strings":["Institute of Scientific and Industrial Research, Osaka University Osaka, Japan","The Institute of Scientific and Industrial Research, Osaka University, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Scientific and Industrial Research, Osaka University Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]},{"raw_affiliation_string":"The Institute of Scientific and Industrial Research, Osaka University, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020600391","display_name":"Satoshi Ono","orcid":"https://orcid.org/0000-0001-9500-3068"},"institutions":[{"id":"https://openalex.org/I107139324","display_name":"Kagoshima University","ror":"https://ror.org/03ss88z23","country_code":"JP","type":"education","lineage":["https://openalex.org/I107139324"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Ono","raw_affiliation_strings":["Graduate School of Science and Engineering, Kagoshima University Kagoshima, Japan","Graduate School of Science and Engineering; Kagoshima University; Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Kagoshima University Kagoshima, Japan","institution_ids":["https://openalex.org/I107139324"]},{"raw_affiliation_string":"Graduate School of Science and Engineering; Kagoshima University; Japan","institution_ids":["https://openalex.org/I107139324"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056811514"],"corresponding_institution_ids":["https://openalex.org/I107139324"],"apc_list":null,"apc_paid":null,"fwci":1.1046,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83900037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2006","issue":null,"first_page":"2945","last_page":"2952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9871000051498413,"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":0.9871000051498413,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9800999760627747,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9653000235557556,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8088243007659912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6089426875114441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6054806113243103},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5902155637741089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48951900005340576},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4783893823623657},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4670487940311432},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4527677297592163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4359564185142517},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.4323887228965759},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4290095269680023},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.42283183336257935},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4106517434120178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34306418895721436},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.25075972080230713},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15097278356552124}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8088243007659912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6089426875114441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6054806113243103},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5902155637741089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48951900005340576},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4783893823623657},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4670487940311432},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4527677297592163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4359564185142517},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.4323887228965759},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4290095269680023},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.42283183336257935},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4106517434120178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34306418895721436},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.25075972080230713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15097278356552124},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2015.7257255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7257255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315724","display_name":"Kayamori Foundation of Informational Science Advancement","ror":null},{"id":"https://openalex.org/F4320332688","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W55768394","https://openalex.org/W81250916","https://openalex.org/W1567819691","https://openalex.org/W1679913846","https://openalex.org/W1726511705","https://openalex.org/W1733921475","https://openalex.org/W1753402186","https://openalex.org/W1959567017","https://openalex.org/W1967435720","https://openalex.org/W1982643062","https://openalex.org/W1994356124","https://openalex.org/W2011396747","https://openalex.org/W2032346219","https://openalex.org/W2070009756","https://openalex.org/W2072240081","https://openalex.org/W2075813083","https://openalex.org/W2083028490","https://openalex.org/W2103837466","https://openalex.org/W2104752854","https://openalex.org/W2106053110","https://openalex.org/W2107431669","https://openalex.org/W2107667794","https://openalex.org/W2117154949","https://openalex.org/W2118712128","https://openalex.org/W2123509976","https://openalex.org/W2126105956","https://openalex.org/W2137736727","https://openalex.org/W2144935315","https://openalex.org/W2151153628","https://openalex.org/W2152010828","https://openalex.org/W2159583439","https://openalex.org/W2162145193","https://openalex.org/W2169495281","https://openalex.org/W2278086079","https://openalex.org/W2324662912","https://openalex.org/W2999575747","https://openalex.org/W4213332169","https://openalex.org/W4285719527","https://openalex.org/W6602286067","https://openalex.org/W6637540137","https://openalex.org/W6637763421","https://openalex.org/W6641141034","https://openalex.org/W6675655370","https://openalex.org/W6675751002","https://openalex.org/W6676144194","https://openalex.org/W6677328822","https://openalex.org/W6677758222","https://openalex.org/W6680962578","https://openalex.org/W6694985484","https://openalex.org/W6701402578"],"related_works":["https://openalex.org/W2535986621","https://openalex.org/W2186905933","https://openalex.org/W180210362","https://openalex.org/W3140018618","https://openalex.org/W2965089876","https://openalex.org/W4312336793","https://openalex.org/W4388110928","https://openalex.org/W1982635649","https://openalex.org/W2096612530","https://openalex.org/W2240446455"],"abstract_inverted_index":{"In":[0],"data":[1,13],"mining":[2],"and":[3,18,37,50,62,80,101],"machine":[4],"learning,":[5],"the":[6,9,64,90,106,110],"definition":[7],"of":[8,66],"distance":[10,24],"between":[11,70,77],"two":[12],"points":[14],"substantially":[15],"affects":[16],"clustering":[17,56,75],"classification":[19],"tasks.":[20],"We":[21],"propose":[22],"a":[23,38,43],"metric":[25],"learning":[26],"(DML)":[27],"method":[28,54,93],"for":[29],"multi-label":[30,74],"clustering,":[31],"that":[32,46,89,108],"uses":[33],"evolutionary":[34],"multi-objective":[35],"optimization":[36,100],"cluster":[39],"validity":[40],"measure":[41],"with":[42],"neighbor":[44],"relation":[45],"simultaneously":[47],"evaluates":[48],"inter-":[49],"intra-clusters.":[51],"The":[52],"proposed":[53,91],"produces":[55,94],"results":[57,86],"considering":[58],"multiple":[59],"class":[60,71],"labels":[61,72],"allows":[63],"induction":[65],"knowledge":[67],"regarding":[68],"relations":[69],"in":[73,82,104],"or":[76],"objective":[78,114],"functions":[79],"elements":[81],"transform":[83,96],"matrix.":[84],"Experimental":[85],"have":[87],"shown":[88],"DML":[92],"better":[95],"matrices":[97],"than":[98],"single-objective":[99],"is":[102],"helpful":[103],"finding":[105],"attributes":[107],"affect":[109],"trade-off":[111],"relationship":[112],"among":[113],"functions.":[115]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}