{"id":"https://openalex.org/W2147232928","doi":"https://doi.org/10.1109/fuzzy.2010.5584306","title":"A new approach for semi-supervised clustering based on Fuzzy C-Means","display_name":"A new approach for semi-supervised clustering based on Fuzzy C-Means","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2147232928","doi":"https://doi.org/10.1109/fuzzy.2010.5584306","mag":"2147232928"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584306","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/A5110830208","display_name":"Valmir Macario","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Valmir Macario","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco; Recife; PE; Brazil","Center of Informatics, Federal University of Pernambuco#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco; Recife; PE; Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco#TAB#","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079004987","display_name":"Francisco de A.T. de Carvalho","orcid":"https://orcid.org/0000-0003-1128-745X"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco de A. T. de Carvalho","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco; Recife; PE; Brazil","Recife"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco; Recife; PE; Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"Recife","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":1.0899,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78653787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9972000122070312,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9972000122070312,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9944000244140625,"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":0.9929999709129333,"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/computer-science","display_name":"Computer science","score":0.7678329944610596},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7215375900268555},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.6941109299659729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.689077615737915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.606920599937439},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5919893383979797},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5157366394996643},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5074493288993835},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4941411316394806},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4677465260028839},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4559122323989868},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3849051594734192},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37755951285362244},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12610507011413574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678329944610596},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7215375900268555},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.6941109299659729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.689077615737915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.606920599937439},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5919893383979797},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5157366394996643},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5074493288993835},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4941411316394806},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4677465260028839},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4559122323989868},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3849051594734192},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37755951285362244},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12610507011413574}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584306","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":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320323678","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Ci\u00eancia e Tecnologia do Estado de Pernambuco","ror":"https://ror.org/02te5rf52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W82250859","https://openalex.org/W92894758","https://openalex.org/W1479807131","https://openalex.org/W1596324102","https://openalex.org/W1923838628","https://openalex.org/W1991621620","https://openalex.org/W2007179563","https://openalex.org/W2048679005","https://openalex.org/W2072732320","https://openalex.org/W2097089247","https://openalex.org/W2098136027","https://openalex.org/W2099189653","https://openalex.org/W2107008379","https://openalex.org/W2113076747","https://openalex.org/W2117348815","https://openalex.org/W2117708047","https://openalex.org/W2121472241","https://openalex.org/W2133556223","https://openalex.org/W2136504847","https://openalex.org/W2140234018","https://openalex.org/W2140353144","https://openalex.org/W2316166351","https://openalex.org/W3103914513","https://openalex.org/W6603760306","https://openalex.org/W6640344894","https://openalex.org/W6677624947","https://openalex.org/W6785730350"],"related_works":["https://openalex.org/W3148060700","https://openalex.org/W2531570999","https://openalex.org/W34092691","https://openalex.org/W4312414840","https://openalex.org/W2096363773","https://openalex.org/W2794908468","https://openalex.org/W4206276646","https://openalex.org/W2943467239","https://openalex.org/W1571801203","https://openalex.org/W2042184006"],"abstract_inverted_index":{"In":[0],"traditional":[1],"machine":[2],"learning":[3,32,37,89,120],"applications,":[4],"only":[5],"labeled":[6,47,84,123,161],"data":[7,15,162],"is":[8,131],"used":[9],"to":[10,24,49,86,148],"train":[11],"the":[12,46,88,117,128,134,141,150,155],"classifier.":[13],"Labeled":[14],"are":[16,136,163],"difficult,":[17],"expensive,":[18],"time-consuming":[19],"and":[20,109,133,140],"require":[21],"human":[22],"experts":[23],"be":[25,57,67],"obtained":[26],"in":[27,76,116],"several":[28],"real":[29],"applications.":[30],"Semi-supervised":[31,36],"address":[33],"this":[34],"issue.":[35],"uses":[38],"large":[39],"amount":[40],"of":[41,60,83,119,127,154],"unlabeled":[42],"data,":[43,48],"combined":[44],"with":[45],"build":[50],"better":[51,151],"classifiers.":[52],"The":[53,105,125],"semi-supervised":[54,98,113],"algorithm":[55,65,96,130,157],"could":[56],"an":[58,61],"extension":[59],"unsupervised":[62,70],"algorithm.":[63,104],"Such":[64],"would":[66],"based":[68,100],"on":[69,101],"clustering":[71,99,114],"algorithms,":[72],"adding":[73],"a":[74,94,159],"term":[75],"its":[77],"objective":[78],"function":[79],"that":[80],"makes":[81],"use":[82],"information":[85],"guide":[87],"process.":[90],"This":[91],"study":[92],"presents":[93],"new":[95,156],"for":[97],"Fuzzy":[102],"C-Means":[103],"classifier":[106],"was":[107,146],"evaluated":[108],"compared":[110],"against":[111],"two":[112],"algorithms":[115],"context":[118],"from":[121],"partially":[122],"data.":[124],"behavior":[126],"proposed":[129],"discussed":[132],"results":[135],"validated":[137],"using":[138],"cross-validation":[139],"confidence":[142],"interval.":[143],"Thus,":[144],"it":[145],"possible":[147],"certify":[149],"accuracy":[152],"performance":[153],"when":[158],"few":[160],"available.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}