{"id":"https://openalex.org/W2969184327","doi":"https://doi.org/10.3233/jifs-190440","title":"DwfwFcm: An effective fuzzy c-means clustering framework considering the different data weights and feature weights","display_name":"DwfwFcm: An effective fuzzy c-means clustering framework considering the different data weights and feature weights","publication_year":2019,"publication_date":"2019-08-07","ids":{"openalex":"https://openalex.org/W2969184327","doi":"https://doi.org/10.3233/jifs-190440","mag":"2969184327"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-190440","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-190440","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5012760333","display_name":"Ziheng Wu","orcid":"https://orcid.org/0000-0003-4633-6012"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziheng Wu","raw_affiliation_strings":["School of Electrical and Information Engineering, AnHui University of Technology, Maanshan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, AnHui University of Technology, Maanshan, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382568","display_name":"Bing Wang","orcid":"https://orcid.org/0000-0003-4945-7725"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, AnHui University of Technology, Maanshan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, AnHui University of Technology, Maanshan, China","institution_ids":["https://openalex.org/I92178344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012760333"],"corresponding_institution_ids":["https://openalex.org/I92178344"],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77985242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"37","issue":"3","first_page":"4339","last_page":"4347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9926999807357788,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9926999807357788,"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/T10057","display_name":"Face and Expression Recognition","score":0.982200026512146,"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":0.9643999934196472,"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":0.7513691186904907},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6535996794700623},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6535049080848694},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.603877067565918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5869832634925842},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5703322887420654},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.5504636764526367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5322753190994263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4926055073738098},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4791509509086609},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41300082206726074},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.32860034704208374}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7513691186904907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6535996794700623},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6535049080848694},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.603877067565918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5869832634925842},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5703322887420654},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.5504636764526367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322753190994263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4926055073738098},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4791509509086609},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41300082206726074},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.32860034704208374},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-190440","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-190440","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W611000878","https://openalex.org/W1510047790","https://openalex.org/W1911778796","https://openalex.org/W1973769742","https://openalex.org/W1984234640","https://openalex.org/W1984701370","https://openalex.org/W2045392528","https://openalex.org/W2061843755","https://openalex.org/W2120887445","https://openalex.org/W2121628067","https://openalex.org/W2139071457","https://openalex.org/W2186592150","https://openalex.org/W2203649114","https://openalex.org/W2216555353","https://openalex.org/W2312529327","https://openalex.org/W2313726139","https://openalex.org/W2320602699","https://openalex.org/W2330382114","https://openalex.org/W2398725337","https://openalex.org/W2513122565","https://openalex.org/W2555112316","https://openalex.org/W2564937887","https://openalex.org/W2784128585","https://openalex.org/W2791771578","https://openalex.org/W2802644309","https://openalex.org/W2807719128","https://openalex.org/W2807891343","https://openalex.org/W2899708793"],"related_works":["https://openalex.org/W2399084168","https://openalex.org/W2373741815","https://openalex.org/W2358058270","https://openalex.org/W2797947728","https://openalex.org/W2363880636","https://openalex.org/W2892323093","https://openalex.org/W65020826","https://openalex.org/W2388975486","https://openalex.org/W2352963450","https://openalex.org/W2556490192"],"abstract_inverted_index":{"Fuzzy":[0],"c-means":[1],"algorithm":[2,126],"(Fcm)":[3],"frequently":[4],"applid":[5],"in":[6,37,128],"machine":[7],"learning":[8],"has":[9],"been":[10],"proven":[11],"an":[12,61,67],"effective":[13],"clustering":[14,39,51,139],"approach.":[15],"However,":[16],"the":[17,22,25,30,34,38,54,75,86,90,97,100,103,106,109,114,125,138],"traditional":[18],"Fcm":[19,50,77],"cannot":[20],"distinguish":[21],"importance":[23],"of":[24,33,49,96,102,108],"different":[26,35,55,104,110],"data":[27,56,63,111],"objects":[28],"and":[29,58,66,78,113,136],"discriminative":[31],"ability":[32],"features":[36],"process.":[40],"In":[41],"this":[42,129],"paper,":[43],"we":[44],"propose":[45],"a":[46,79],"new":[47,80],"kind":[48],"framework:":[52],"DwfwFcm.Considering":[53],"weights":[57,64,70,101,107],"feature":[59,69],"weights,":[60],"adaptive":[62,68],"vector":[65],"matrix":[71],"are":[72],"introduced":[73],"into":[74],"conventional":[76],"objective":[81,88],"function":[82],"is":[83],"constructed.":[84],"By":[85],"proposed":[87,127],"function,":[89],"corresponding":[91],"scientific":[92],"updating":[93],"iterative":[94],"rules":[95],"membership":[98],"matrix,":[99],"feature,":[105],"object":[112],"cluster":[115],"centers":[116],"can":[117,131],"be":[118],"derived":[119],"theoretically.Experimental":[120],"results":[121,135],"have":[122],"demonstrated":[123],"that":[124],"paper":[130],"deliver":[132],"consistently":[133],"promising":[134],"improve":[137],"performance":[140],"greatly.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}