{"id":"https://openalex.org/W900681126","doi":"https://doi.org/10.3233/ifs-141517","title":"Enhanced soft subspace clustering through hybrid dissimilarity","display_name":"Enhanced soft subspace clustering through hybrid dissimilarity","publication_year":2015,"publication_date":"2015-10-23","ids":{"openalex":"https://openalex.org/W900681126","doi":"https://doi.org/10.3233/ifs-141517","mag":"900681126"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-141517","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-141517","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5100436501","display_name":"Lijuan Wang","orcid":"https://orcid.org/0000-0002-2517-2728"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijuan Wang","raw_affiliation_strings":["Faculty of Computer, Guangdong University of Technology, Guangzhou, P.R. China","State Key Laboratory for Novel Software Technology, Nanjing University, P.R. China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer, Guangdong University of Technology, Guangzhou, P.R. China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, P.R. China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397027","display_name":"Zhifeng Hao","orcid":"https://orcid.org/0000-0003-2034-6562"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Hao","raw_affiliation_strings":["Faculty of Computer, Guangdong University of Technology, Guangzhou, P.R. China","Faculty of Computer, Guangdong University of Technology, Guangzhou, P. R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer, Guangdong University of Technology, Guangzhou, P.R. China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Faculty of Computer, Guangdong University of Technology, Guangzhou, P. R. China#TAB#","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076948208","display_name":"Ruichu Cai","orcid":"https://orcid.org/0000-0001-8972-167X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichu Cai","raw_affiliation_strings":["Faculty of Computer, Guangdong University of Technology, Guangzhou, P.R. China","State Key Laboratory for Novel Software Technology, Nanjing University, P.R. China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer, Guangdong University of Technology, Guangzhou, P.R. China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, P.R. China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100319719","display_name":"Wen Wen","orcid":"https://orcid.org/0000-0002-0430-6686"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Wen","raw_affiliation_strings":["Faculty of Computer, Guangdong University of Technology, Guangzhou, P.R. China","Faculty of Computer, Guangdong University of Technology, Guangzhou, P. R. China#TAB#"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer, Guangdong University of Technology, Guangzhou, P.R. China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Faculty of Computer, Guangdong University of Technology, Guangzhou, P. R. China#TAB#","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100436501"],"corresponding_institution_ids":["https://openalex.org/I139024713","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72635758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":"4","first_page":"1395","last_page":"1405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9968000054359436,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9866999983787537,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8052335977554321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5861309766769409},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.561400294303894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5370062589645386},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5053113102912903},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4711320102214813},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.463478147983551},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4544423818588257},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4400286078453064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.436005175113678},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4257875680923462},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3872799575328827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32615697383880615}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8052335977554321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5861309766769409},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.561400294303894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5370062589645386},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5053113102912903},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4711320102214813},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.463478147983551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4544423818588257},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4400286078453064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.436005175113678},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4257875680923462},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3872799575328827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32615697383880615},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ifs-141517","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-141517","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W203389731","https://openalex.org/W1490912836","https://openalex.org/W1499117135","https://openalex.org/W1520084959","https://openalex.org/W1537440443","https://openalex.org/W1976568795","https://openalex.org/W1977496278","https://openalex.org/W1999501864","https://openalex.org/W2001442881","https://openalex.org/W2006080772","https://openalex.org/W2042035594","https://openalex.org/W2044080809","https://openalex.org/W2065811242","https://openalex.org/W2069046167","https://openalex.org/W2072017174","https://openalex.org/W2079361215","https://openalex.org/W2080476941","https://openalex.org/W2089782020","https://openalex.org/W2094381401","https://openalex.org/W2094909687","https://openalex.org/W2095512713","https://openalex.org/W2097406622","https://openalex.org/W2112210867","https://openalex.org/W2120887445","https://openalex.org/W2125070513","https://openalex.org/W2161985854","https://openalex.org/W3003734944"],"related_works":["https://openalex.org/W2556490192","https://openalex.org/W2158511632","https://openalex.org/W2892323093","https://openalex.org/W2361242132","https://openalex.org/W2406185607","https://openalex.org/W4308301473","https://openalex.org/W3071522575","https://openalex.org/W3140018618","https://openalex.org/W2389934482","https://openalex.org/W2351063574"],"abstract_inverted_index":{"Abstract":[0],"Soft":[1],"subspace":[2,29,45,78,116],"clustering":[3,30,46,79,117,159,191],"has":[4],"attracted":[5],"a":[6,123],"lot":[7],"of":[8,15,23,114,134,166,172],"research":[9],"efforts,":[10],"due":[11],"to":[12,34,48,56,64,93,187,205],"the":[13,21,112,132,136,141,145,155,158,170,188,207,215],"emergence":[14],"applications":[16],"in":[17,157],"high-dimensional":[18],"clustering.":[19],"To":[20],"best":[22],"our":[24],"knowledge,":[25],"most":[26],"existing":[27,190],"soft":[28,44,77,115],"algorithms":[31,47],"assign":[32,91],"weights":[33,92],"features":[35,94],"relying":[36],"on":[37,96,131,176],"Euclidean":[38,97],"distance.":[39],"Such":[40],"schemes":[41],"only":[42],"allow":[43],"extend":[49],"or":[50],"shrink":[51,105],"feature":[52,57,70,108],"space":[53,71,109],"with":[54,209],"respect":[55],"weights.":[58],"In":[59,121,199],"this":[60,66],"paper,":[61],"we":[62,149],"aim":[63],"break":[65],"limitation":[67],"and":[68,99,106,139,179,197,211],"facilitate":[69],"transformations":[72],"directed":[73],"by":[74],"an":[75],"enhanced":[76],"algorithm":[80],"through":[81],"hybrid":[82,88,137],"dissimilarity":[83,89,138],"measure":[84,90],"(ESCHD).":[85],"The":[86,161],"proposed":[87],"based":[95,130],"distance":[98],"Cosine":[100],"dissimilarity,":[101],"which":[102],"can":[103,118],"extend,":[104],"rotate":[107],"so":[110],"that":[111,183],"performance":[113,171],"be":[119],"improved.":[120],"ESCHD,":[122],"new":[124,146,151],"optimization":[125],"objective":[126,147],"function":[127],"is":[128,185,202],"designed,":[129],"goal":[133],"minimizing":[135],"maximizing":[140],"weighted":[142],"entropy.":[143],"Using":[144],"function,":[148],"derive":[150],"updating":[152],"rules":[153],"for":[154],"iterations":[156],"procedure.":[160],"proved":[162],"promising":[163],"convergence":[164],"property":[165],"ESCHD":[167,184,201],"also":[168],"ensures":[169],"ESCHD.":[173],"Experimental":[174],"results":[175],"both":[177],"synthetic":[178],"UCI":[180],"datasets":[181],"demonstrate":[182],"superior":[186],"four":[189,216],"algorithms,":[192],"i.e.":[193],"K-means,":[194],"W-k-means,":[195],"LAC":[196],"EWKM.":[198],"addition,":[200],"more":[203],"robust":[204],"handle":[206],"problems":[208],"noise":[210],"missing":[212],"data":[213],"than":[214],"algorithms.":[217]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-02-11T14:41:00.668223","created_date":"2025-10-10T00:00:00"}
