{"id":"https://openalex.org/W2127620363","doi":"https://doi.org/10.1109/fuzzy.2010.5584538","title":"An extension of possibilistic fuzzy c-means with regularization","display_name":"An extension of possibilistic fuzzy c-means with regularization","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2127620363","doi":"https://doi.org/10.1109/fuzzy.2010.5584538","mag":"2127620363"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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":"https://openalex.org/A5061427166","display_name":"Younghwan Namkoong","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Younghwan Namkoong","raw_affiliation_strings":["Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA","Department of Computer and Information Science and Engineering, University of Florida, Gainesville, Florida, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Department of Computer and Information Science and Engineering, University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053110458","display_name":"Gyeongyong Heo","orcid":null},"institutions":[{"id":"https://openalex.org/I204974687","display_name":"Dong-Eui University","ror":"https://ror.org/059g69b28","country_code":"KR","type":"education","lineage":["https://openalex.org/I204974687"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gyeongyong Heo","raw_affiliation_strings":["Department of Multimedia Engineering, Dongeui University, Busan, South Korea","Department of Multimedia Engineering, Dong-Eui University, Busan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Dongeui University, Busan, South Korea","institution_ids":["https://openalex.org/I204974687"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dong-Eui University, Busan, Korea","institution_ids":["https://openalex.org/I204974687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102151764","display_name":"Young Woon Woo","orcid":null},"institutions":[{"id":"https://openalex.org/I204974687","display_name":"Dong-Eui University","ror":"https://ror.org/059g69b28","country_code":"KR","type":"education","lineage":["https://openalex.org/I204974687"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Woon Woo","raw_affiliation_strings":["Department of Multimedia Engineering, Dongeui University, Busan, South Korea","Department of Multimedia Engineering, Dong-Eui University, Busan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Dongeui University, Busan, South Korea","institution_ids":["https://openalex.org/I204974687"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dong-Eui University, Busan, Korea","institution_ids":["https://openalex.org/I204974687"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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/T11106","display_name":"Data Management and Algorithms","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9645000100135803,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7773388624191284},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.707072377204895},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5896759629249573},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.5167067050933838},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45777010917663574},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4547812044620514},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44421321153640747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42151904106140137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4191930294036865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2428215742111206},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08329883217811584}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7773388624191284},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.707072377204895},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5896759629249573},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.5167067050933838},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45777010917663574},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4547812044620514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44421321153640747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42151904106140137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4191930294036865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2428215742111206},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08329883217811584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1793466594","https://openalex.org/W1819189662","https://openalex.org/W2022400536","https://openalex.org/W2031604650","https://openalex.org/W2051672098","https://openalex.org/W2055278641","https://openalex.org/W2094510831","https://openalex.org/W2109943925","https://openalex.org/W2113076747","https://openalex.org/W2116442055","https://openalex.org/W2120688485","https://openalex.org/W2132700947","https://openalex.org/W2164381747","https://openalex.org/W2167428023","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W6638725270"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W2043065721","https://openalex.org/W1990953131","https://openalex.org/W2938008981","https://openalex.org/W2318195119","https://openalex.org/W2025633293","https://openalex.org/W2093760752","https://openalex.org/W2463534376","https://openalex.org/W2024372918","https://openalex.org/W2062447501"],"abstract_inverted_index":{"Fuzzy":[0],"c-means":[1,5,63],"(FCM)":[2],"and":[3,18,36,60,96,112,123],"possibilistic":[4,61],"(PCM)":[6],"are":[7,41,121],"the":[8,115],"two":[9],"most":[10],"well-known":[11,88],"clustering":[12,16],"algorithms":[13],"in":[14,22,82,132],"fuzzy":[15,62],"area,":[17],"have":[19,47],"been":[20,48],"applied":[21],"many":[23],"areas":[24],"with":[25,105],"their":[26],"original":[27],"or":[28],"modified":[29,74],"forms.":[30],"However,":[31],"FCM's":[32],"noise":[33,80,99],"sensitivity":[34,81],"problem":[35,40],"PCM's":[37],"overlapping":[38],"cluster":[39],"also":[42],"well":[43],"known.":[44],"Recently":[45],"there":[46],"several":[49],"attempts":[50],"to":[51,56,78,90],"combine":[52],"both":[53],"of":[54,110,117],"them":[55],"mitigate":[57],"these":[58],"problems":[59],"(PFCM)":[64],"showed":[65],"promising":[66],"results.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"propose":[72],"a":[73,87,92],"PFCM":[75,83,104],"using":[76],"regularization":[77,106,111],"reduce":[79,114],"further.":[84],"Regularization":[85],"is":[86,127],"technique":[89],"make":[91],"solution":[93],"space":[94],"smooth":[95],"an":[97],"algorithm":[98],"insensitive.":[100],"The":[101],"proposed":[102],"algorithm,":[103],"(PFCM-R),":[107],"takes":[108],"advantage":[109],"further":[113],"effect":[116],"noise.":[118],"Experimental":[119],"results":[120],"given":[122],"show":[124],"that":[125],"PFCM-R":[126],"better":[128],"than":[129],"existing":[130],"methods":[131],"noisy":[133],"conditions.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
