{"id":"https://openalex.org/W1982017187","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622544","title":"Improving semi-supervised fuzzy c-means classification of Breast Cancer data using feature selection","display_name":"Improving semi-supervised fuzzy c-means classification of Breast Cancer data using feature selection","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1982017187","doi":"https://doi.org/10.1109/fuzz-ieee.2013.6622544","mag":"1982017187"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2013.6622544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5110190122","display_name":"Daphne Teck Ching Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daphne Teck Ching Lai","raw_affiliation_strings":["School of Computer Science, University of Nottingham, UK","School of Computer Science; University of Nottingham; Nottingham UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"School of Computer Science; University of Nottingham; Nottingham UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040516036","display_name":"Jonathan M. Garibaldi","orcid":"https://orcid.org/0000-0002-9690-7074"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jonathan M. Garibaldi","raw_affiliation_strings":["School of Computer Science, University of Nottingham, UK","School of Computer Science; University of Nottingham; Nottingham UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"School of Computer Science; University of Nottingham; Nottingham UK","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6942658424377441},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6507592797279358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636426568031311},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6330521106719971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6156027317047119},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.51105797290802},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4911653697490692},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47777998447418213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4725998044013977},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.4632061719894409},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4518369138240814},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4410317838191986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4239102602005005},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4167192280292511},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.28370600938796997},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13789141178131104}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6942658424377441},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6507592797279358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636426568031311},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6330521106719971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6156027317047119},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.51105797290802},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4911653697490692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47777998447418213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4725998044013977},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.4632061719894409},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4518369138240814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4410317838191986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4239102602005005},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4167192280292511},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.28370600938796997},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13789141178131104},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2013.6622544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2013.6622544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1486658274","https://openalex.org/W1495061682","https://openalex.org/W1502050276","https://openalex.org/W1536677667","https://openalex.org/W1874786585","https://openalex.org/W2011430131","https://openalex.org/W2038894244","https://openalex.org/W2059272061","https://openalex.org/W2065868716","https://openalex.org/W2092829070","https://openalex.org/W2099189653","https://openalex.org/W2119387367","https://openalex.org/W2119479037","https://openalex.org/W2122725856","https://openalex.org/W2133462743","https://openalex.org/W2133990480","https://openalex.org/W2143426320","https://openalex.org/W2148525676","https://openalex.org/W2156332695","https://openalex.org/W2167588718","https://openalex.org/W2170075065","https://openalex.org/W4285719527","https://openalex.org/W6628988005","https://openalex.org/W6630029442","https://openalex.org/W6632243642","https://openalex.org/W6667254217","https://openalex.org/W6681826647"],"related_works":["https://openalex.org/W3048286013","https://openalex.org/W3082405836","https://openalex.org/W2059321491","https://openalex.org/W2596054022","https://openalex.org/W2371570177","https://openalex.org/W2740479052","https://openalex.org/W1529156857","https://openalex.org/W2168920113","https://openalex.org/W3199023014","https://openalex.org/W3202881146"],"abstract_inverted_index":{"In":[0,48],"previous":[1,108],"work,":[2],"six":[3],"clinically":[4,57],"novel":[5],"and":[6,16,67,72,117,135,163,186,199],"useful":[7,58],"subgroups":[8],"of":[9,30,69,79,87,98,140,153,159],"breast":[10,113,146,181],"cancer":[11,114,182],"were":[12],"identified":[13],"using":[14,43,60,126,168,177],"rules":[15],"clinicians'":[17],"expertise":[18],"to":[19,39,54,83,94],"combine":[20],"solutions":[21],"from":[22],"three":[23,194],"different":[24],"clustering":[25,46],"algorithms":[26],"on":[27,111,118,193],"a":[28,44,56],"database":[29],"biomarkers.":[31,183],"The":[32],"motivation":[33],"for":[34,145],"the":[35,49,65,77,85,96,107,141,160],"present":[36],"work":[37],"is":[38,82],"reproduce":[40],"this":[41,80],"classification":[42,59,166,174,189],"single":[45],"method.":[47],"long":[50],"term,":[51],"we":[52,164],"hope":[53],"produce":[55],"fewer":[61],"features":[62,99,138],"(biomarkers),":[63],"reducing":[64],"time":[66],"cost":[68],"running":[70],"complex":[71],"expensive":[73],"clinical":[74],"tests.":[75],"Hence,":[76],"aim":[78],"paper":[81],"investigate":[84],"use":[86],"feature":[88,128],"selection":[89,129],"in":[90],"combination":[91],"with":[92,106,132,150],"ssFCM":[93],"reduce":[95],"number":[97],"while":[100],"maintaining":[101],"accuracy":[102,167,175,190],"(defined":[103],"as":[104],"agreement":[105],"classification),":[109],"both":[110],"our":[112],"biomarker":[115],"data":[116,155],"other":[119],"benchmark":[120],"datasets.":[121],"We":[122,148],"show":[123],"experimental":[124],"results":[125],"four":[127],"techniques,":[130],"exploring":[131],"10,":[133],"15":[134,178],"17":[136,180],"selected":[137],"out":[139],"original":[142],"25":[143],"biomarkers":[144],"cancer.":[147],"experimented":[149],"varying":[151],"amounts":[152],"labelled":[154],"(10%":[156],"-":[157],"60%":[158],"training":[161],"data)":[162],"evaluate":[165],"cross-validation.":[169],"It":[170],"was":[171,191],"found":[172,192],"that":[173],"increased":[176],"or":[179],"Using":[184],"SVM-RFE":[185],"CFS,":[187],"improved":[188],"UCI":[195],"datasets,":[196],"Arrhythmia,":[197],"Cardiotocography":[198],"Yeast.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
