{"id":"https://openalex.org/W2303923175","doi":"https://doi.org/10.1109/tsmca.2010.2041225","title":"Integrating Clustering and Supervised Learning for Categorical Data Analysis","display_name":"Integrating Clustering and Supervised Learning for Categorical Data Analysis","publication_year":2010,"publication_date":"2010-04-05","ids":{"openalex":"https://openalex.org/W2303923175","doi":"https://doi.org/10.1109/tsmca.2010.2041225","mag":"2303923175"},"language":"en","primary_location":{"id":"doi:10.1109/tsmca.2010.2041225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmca.2010.2041225","pdf_url":null,"source":{"id":"https://openalex.org/S4210201610","display_name":"IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans","issn_l":"1083-4427","issn":["1083-4427","1558-2426"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans","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/A5072356717","display_name":"Ujjwal Maulik","orcid":"https://orcid.org/0000-0003-1167-0774"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ujjwal Maulik","raw_affiliation_strings":["Department of Computer Science and Engineering, Jadavpur University, Kolkata, India","Department of Computer Science. & Engineering, Jadavpur University, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Department of Computer Science. & Engineering, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036061149","display_name":"Sanghamitra Bandyopadhyay","orcid":"https://orcid.org/0000-0001-6370-2083"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanghamitra Bandyopadhyay","raw_affiliation_strings":["Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India","Machine Intell. Unit, Indian Stat. Inst., Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Machine Intell. Unit, Indian Stat. Inst., Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003577135","display_name":"Indrajit Saha","orcid":"https://orcid.org/0000-0001-9513-9707"},"institutions":[{"id":"https://openalex.org/I47996466","display_name":"University of Warmia and Mazury in Olsztyn","ror":"https://ror.org/05s4feg49","country_code":"PL","type":"education","lineage":["https://openalex.org/I47996466"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Indrajit Saha","raw_affiliation_strings":["Interdisciplinary Centre of Mathematical and Computational Modeling, University of Warmia and Mazury, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre of Mathematical and Computational Modeling, University of Warmia and Mazury, Warsaw, Poland","institution_ids":["https://openalex.org/I47996466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.5182,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.98829336,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"40","issue":"4","first_page":"664","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9850000143051147,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7618459463119507},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6557285785675049},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.653401255607605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6336517930030823},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6002503633499146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5702794790267944},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5636404752731323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5590789318084717},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5292429327964783},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5129582285881042},{"id":"https://openalex.org/keywords/medoid","display_name":"Medoid","score":0.5041621923446655},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4770616590976715},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4574739933013916},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4320521652698517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3923986852169037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33973371982574463}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7618459463119507},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6557285785675049},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.653401255607605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6336517930030823},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6002503633499146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5702794790267944},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5636404752731323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5590789318084717},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5292429327964783},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5129582285881042},{"id":"https://openalex.org/C63085389","wikidata":"https://www.wikidata.org/wiki/Q4287912","display_name":"Medoid","level":3,"score":0.5041621923446655},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4770616590976715},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4574739933013916},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4320521652698517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3923986852169037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33973371982574463}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmca.2010.2041225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmca.2010.2041225","pdf_url":null,"source":{"id":"https://openalex.org/S4210201610","display_name":"IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans","issn_l":"1083-4427","issn":["1083-4427","1558-2426"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans","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":46,"referenced_works":["https://openalex.org/W194800985","https://openalex.org/W1486089539","https://openalex.org/W1497238244","https://openalex.org/W1563231564","https://openalex.org/W1595159159","https://openalex.org/W1623080549","https://openalex.org/W1639032689","https://openalex.org/W1879678483","https://openalex.org/W1971784203","https://openalex.org/W1996747841","https://openalex.org/W1998674867","https://openalex.org/W2024060531","https://openalex.org/W2049004590","https://openalex.org/W2071965987","https://openalex.org/W2091091431","https://openalex.org/W2103407204","https://openalex.org/W2104492856","https://openalex.org/W2108323654","https://openalex.org/W2113076747","https://openalex.org/W2125310307","https://openalex.org/W2125836114","https://openalex.org/W2127971792","https://openalex.org/W2138810473","https://openalex.org/W2148603752","https://openalex.org/W2150231499","https://openalex.org/W2155867588","https://openalex.org/W2156909104","https://openalex.org/W2166129212","https://openalex.org/W2166843422","https://openalex.org/W2170288987","https://openalex.org/W2170590171","https://openalex.org/W2171776966","https://openalex.org/W2302947639","https://openalex.org/W2319660501","https://openalex.org/W2483347049","https://openalex.org/W2492555704","https://openalex.org/W2792932704","https://openalex.org/W2913066018","https://openalex.org/W2999729612","https://openalex.org/W3023540311","https://openalex.org/W3137715965","https://openalex.org/W4229605281","https://openalex.org/W4230990771","https://openalex.org/W4255469293","https://openalex.org/W4285719527","https://openalex.org/W4302422232"],"related_works":["https://openalex.org/W2160785859","https://openalex.org/W2188840951","https://openalex.org/W2559422900","https://openalex.org/W4301002638","https://openalex.org/W2590117803","https://openalex.org/W3186815950","https://openalex.org/W2393707058","https://openalex.org/W2202413591","https://openalex.org/W2389934482","https://openalex.org/W2388628913"],"abstract_inverted_index":{"The":[0,64,77,180,194],"problem":[1,26],"of":[2,5,15,58,79,130,158,183,196],"fuzzy":[3,54,101],"clustering":[4,36,57,107,140,181,199],"categorical":[6,17,41,59,116],"data,":[7],"where":[8],"no":[9],"natural":[10],"ordering":[11],"among":[12],"the":[13,80,94,99,127,131,136,139,159,171,178,184,191,197],"elements":[14],"a":[16,32,34,49,145,150],"attribute":[18],"domain":[19],"can":[20],"be":[21],"found,":[22],"is":[23,142,174],"an":[24],"important":[25],"in":[27],"exploratory":[28],"data":[29,42,60,117,160],"analysis.":[30],"As":[31],"result,":[33],"few":[35],"algorithms":[37],"with":[38,74,86,144],"focus":[39],"on":[40,167],"have":[43],"been":[44,62,84,122,205],"proposed.":[45,63],"In":[46],"this":[47],"paper,":[48],"modified":[50],"differential":[51],"evolution":[52],"(DE)-based":[53],"c-medoids":[55],"(FCMdd)":[56],"has":[61,83,121,204],"algorithm":[65,108],"combines":[66],"both":[67],"local":[68],"as":[69,71],"well":[70],"global":[72],"information":[73],"adaptive":[75],"weighting.":[76],"performance":[78],"proposed":[81,132],"method":[82,141],"compared":[85],"those":[87],"using":[88,190],"genetic":[89],"algorithm,":[90],"simulated":[91],"annealing,":[92],"and":[93,103,112,200],"classical":[95],"DE":[96],"technique,":[97],"besides":[98],"FCMdd,":[100],"k-modes,":[102],"average":[104],"linkage":[105],"hierarchical":[106],"for":[109,153,176],"four":[110,113],"artificial":[111],"real":[114],"life":[115],"sets.":[118],"Statistical":[119],"test":[120],"carried":[123],"out":[124],"to":[125,170],"establish":[126],"statistical":[128],"significance":[129],"method.":[133],"To":[134],"improve":[135],"result":[137],"further,":[138],"integrated":[143,198],"support":[146],"vector":[147],"machine":[148],"(SVM),":[149],"well-known":[151],"technique":[152],"supervised":[154,201],"learning.":[155],"A":[156],"fraction":[157],"points":[161,186],"selected":[162],"from":[163],"different":[164],"clusters":[165],"based":[166],"their":[168],"proximity":[169],"respective":[172],"medoids":[173],"used":[175],"training":[177],"SVM.":[179],"assignments":[182],"remaining":[185],"are":[187],"thereafter":[188],"determined":[189],"trained":[192],"classifier.":[193],"superiority":[195],"learning":[202],"approach":[203],"demonstrated.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
