{"id":"https://openalex.org/W2110592544","doi":"https://doi.org/10.1109/fskd.2011.6019641","title":"An enhanced fuzzy c-means clustering using relational information","display_name":"An enhanced fuzzy c-means clustering using relational information","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2110592544","doi":"https://doi.org/10.1109/fskd.2011.6019641","mag":"2110592544"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6019641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5046093778","display_name":"Jian-Ping Mei","orcid":"https://orcid.org/0000-0003-1678-6215"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Jian-Ping Mei","raw_affiliation_strings":["Division of Information Engineering, Nanyang Technological University, Singapore","Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore"],"affiliations":[{"raw_affiliation_string":"Division of Information Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100718988","display_name":"Lihui Chen","orcid":"https://orcid.org/0000-0001-7452-1675"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Lihui Chen","raw_affiliation_strings":["Division of Information Engineering, Nanyang Technological University, Singapore","Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore"],"affiliations":[{"raw_affiliation_string":"Division of Information Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Division of Information Engineering, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046093778"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12122763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1090","last_page":"1094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9929999709129333,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7678243517875671},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.72479248046875},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6937763690948486},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6835705041885376},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6775317192077637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6369035243988037},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5209552049636841},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5011289119720459},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4763500988483429},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4152195453643799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4011170268058777}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7678243517875671},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.72479248046875},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6937763690948486},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6835705041885376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6775317192077637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6369035243988037},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5209552049636841},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5011289119720459},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4763500988483429},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4152195453643799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4011170268058777},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2011.6019641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2028409436","https://openalex.org/W2061708588","https://openalex.org/W2088857627","https://openalex.org/W2099189653","https://openalex.org/W2113076747","https://openalex.org/W2117154949","https://openalex.org/W2120322324","https://openalex.org/W2134089414","https://openalex.org/W2139956879","https://openalex.org/W2140207040","https://openalex.org/W2160484893","https://openalex.org/W2162630660","https://openalex.org/W2164794763","https://openalex.org/W2164944403","https://openalex.org/W6677328822","https://openalex.org/W6679849079"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4292434959"],"abstract_inverted_index":{"Most":[0],"of":[1,30,33,72,109,122,158,179],"existing":[2,113],"fuzzy":[3,41,98,115],"clustering":[4,60,116],"approaches":[5,117],"cluster":[6,53],"objects":[7],"based":[8],"on":[9,132],"the":[10,50,70,79,83,87,92,104,107,123,136,145,148,152,162,165,177,180],"vector":[11],"representation":[12],"or":[13],"their":[14],"pairwise":[15,90,171],"relation.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,75],"propose":[21],"a":[22,96,119],"new":[23,47],"approach":[24,94],"called":[25],"LinkFCM":[26,56,182],"to":[27],"make":[28],"use":[29],"both":[31,184],"types":[32],"data":[34,85,134],"by":[35],"adding":[36],"an":[37],"additional":[38],"term":[39,48,105,125],"into":[40],"c-means":[42],"type":[43],"objective":[44],"functions.":[45],"This":[46],"measures":[49],"total":[51],"within":[52],"association.":[54],"The":[55,173],"is":[57,86,118,130,139],"useful":[58],"for":[59],"many":[61],"real-world":[62],"data,":[63],"such":[64],"as":[65],"Webpages,":[66],"where":[67,135],"together":[68],"with":[69],"content":[71],"each":[73,156],"Webpage,":[74],"may":[76],"also":[77],"know":[78],"inter-links.":[80],"Moreover,":[81],"when":[82],"relational":[84],"user":[88,169],"specified":[89,170],"constraints,":[91],"proposed":[93,181],"becomes":[95],"semi-supervised":[97,114],"clustering.":[99],"We":[100],"will":[101],"show":[102,176],"that":[103],"measuring":[106],"violation":[108],"constraints":[110],"in":[111,126,144,161,183],"some":[112],"special":[120],"case":[121],"second":[124,163],"LinkFCM.":[127],"Experimental":[128],"study":[129],"conducted":[131],"real-word":[133],"relation":[137,149,166],"matrix":[138,150,167],"constructed":[140],"under":[141],"two":[142],"scenarios:":[143],"first":[146],"scenario,":[147,164],"records":[151,168],"link":[153],"information":[154],"between":[155],"pair":[157],"objects,":[159],"and":[160],"constraints.":[172],"experimental":[174],"results":[175],"effectiveness":[178],"cases.":[185]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
