{"id":"https://openalex.org/W2808465901","doi":"https://doi.org/10.26599/bdma.2018.9020003","title":"Multi-view clustering: A survey","display_name":"Multi-view clustering: A survey","publication_year":2018,"publication_date":"2018-04-12","ids":{"openalex":"https://openalex.org/W2808465901","doi":"https://doi.org/10.26599/bdma.2018.9020003","mag":"2808465901"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2018.9020003","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2018.9020003","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/bdma.2018.9020003","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068951317","display_name":"Yan Yang","orcid":"https://orcid.org/0000-0002-6134-6094"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Yang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100599811","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-0131-0823"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068951317"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":25.8958,"has_fulltext":false,"cited_by_count":490,"citation_normalized_percentile":{"value":0.99568845,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"1","issue":"2","first_page":"83","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9965999722480774,"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":0.9965999722480774,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9921000003814697,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8224615454673767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.760971188545227},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.5541401505470276},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4964297413825989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4763493835926056},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47454342246055603},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4572034478187561},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4569431245326996},{"id":"https://openalex.org/keywords/conceptual-clustering","display_name":"Conceptual clustering","score":0.44675397872924805},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4380878210067749},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4332577586174011},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.42240482568740845},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4195367097854614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4100390672683716},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.36624059081077576},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19771480560302734}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8224615454673767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760971188545227},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.5541401505470276},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4964297413825989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4763493835926056},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47454342246055603},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4572034478187561},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4569431245326996},{"id":"https://openalex.org/C39235581","wikidata":"https://www.wikidata.org/wiki/Q5158434","display_name":"Conceptual clustering","level":5,"score":0.44675397872924805},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4380878210067749},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4332577586174011},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.42240482568740845},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4195367097854614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4100390672683716},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.36624059081077576},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19771480560302734},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2018.9020003","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2018.9020003","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a9c0b5cd97034d02b20c411f43147384","is_oa":true,"landing_page_url":"https://doaj.org/article/a9c0b5cd97034d02b20c411f43147384","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 1, Iss 2, Pp 83-107 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2018.9020003","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2018.9020003","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":138,"referenced_works":["https://openalex.org/W53387266","https://openalex.org/W87822204","https://openalex.org/W201974436","https://openalex.org/W297461772","https://openalex.org/W571071414","https://openalex.org/W885927601","https://openalex.org/W1493217831","https://openalex.org/W1504886279","https://openalex.org/W1509107394","https://openalex.org/W1527057222","https://openalex.org/W1531910981","https://openalex.org/W1538422756","https://openalex.org/W1550614472","https://openalex.org/W1554980091","https://openalex.org/W1557264270","https://openalex.org/W1564937518","https://openalex.org/W1572158434","https://openalex.org/W1576597967","https://openalex.org/W1646999038","https://openalex.org/W1700224340","https://openalex.org/W1814207336","https://openalex.org/W1824737917","https://openalex.org/W1879834137","https://openalex.org/W1892382968","https://openalex.org/W1902027874","https://openalex.org/W1907775068","https://openalex.org/W1908497220","https://openalex.org/W1937059634","https://openalex.org/W1964305049","https://openalex.org/W1968247965","https://openalex.org/W1969650088","https://openalex.org/W1971327737","https://openalex.org/W1973880717","https://openalex.org/W1976391658","https://openalex.org/W1979117876","https://openalex.org/W1983293338","https://openalex.org/W1988569689","https://openalex.org/W1989529706","https://openalex.org/W1991380130","https://openalex.org/W1992652404","https://openalex.org/W1992905164","https://openalex.org/W1994258566","https://openalex.org/W2003286090","https://openalex.org/W2014069437","https://openalex.org/W2014143538","https://openalex.org/W2019247858","https://openalex.org/W2019885956","https://openalex.org/W2026236384","https://openalex.org/W2035979693","https://openalex.org/W2037525266","https://openalex.org/W2037603696","https://openalex.org/W2038307235","https://openalex.org/W2043819533","https://openalex.org/W2048679005","https://openalex.org/W2057923756","https://openalex.org/W2059355863","https://openalex.org/W2070670538","https://openalex.org/W2079953837","https://openalex.org/W2085789144","https://openalex.org/W2101324110","https://openalex.org/W2105709960","https://openalex.org/W2108119513","https://openalex.org/W2108154570","https://openalex.org/W2108502868","https://openalex.org/W2110877857","https://openalex.org/W2113573459","https://openalex.org/W2119282764","https://openalex.org/W2119697781","https://openalex.org/W2120455655","https://openalex.org/W2125151038","https://openalex.org/W2127716180","https://openalex.org/W2128614648","https://openalex.org/W2132205911","https://openalex.org/W2132820034","https://openalex.org/W2134455794","https://openalex.org/W2136294701","https://openalex.org/W2138180870","https://openalex.org/W2142109962","https://openalex.org/W2142674578","https://openalex.org/W2150143163","https://openalex.org/W2153233077","https://openalex.org/W2154057601","https://openalex.org/W2159091719","https://openalex.org/W2160914206","https://openalex.org/W2162852363","https://openalex.org/W2169709322","https://openalex.org/W2176433868","https://openalex.org/W2181159407","https://openalex.org/W2193312788","https://openalex.org/W2197707282","https://openalex.org/W2201021786","https://openalex.org/W2210977594","https://openalex.org/W2240268387","https://openalex.org/W2247688833","https://openalex.org/W2270614106","https://openalex.org/W2279323413","https://openalex.org/W2290309368","https://openalex.org/W2295156440","https://openalex.org/W2296531836","https://openalex.org/W2301166038","https://openalex.org/W2318871451","https://openalex.org/W2327699058","https://openalex.org/W2399260173","https://openalex.org/W2403395216","https://openalex.org/W2403436963","https://openalex.org/W2405459681","https://openalex.org/W2405678381","https://openalex.org/W2407812036","https://openalex.org/W2411145352","https://openalex.org/W2438114707","https://openalex.org/W2441795274","https://openalex.org/W2466516015","https://openalex.org/W2483230101","https://openalex.org/W2489123137","https://openalex.org/W2493084460","https://openalex.org/W2514638911","https://openalex.org/W2516780539","https://openalex.org/W2524927650","https://openalex.org/W2560185252","https://openalex.org/W2563908351","https://openalex.org/W2579597427","https://openalex.org/W2583916359","https://openalex.org/W2584959193","https://openalex.org/W2585076639","https://openalex.org/W2590019597","https://openalex.org/W2595272553","https://openalex.org/W2604936817","https://openalex.org/W2605146283","https://openalex.org/W2605639220","https://openalex.org/W2606067931","https://openalex.org/W2606776255","https://openalex.org/W2608603161","https://openalex.org/W2608812095","https://openalex.org/W2713589480","https://openalex.org/W2963014045","https://openalex.org/W2963111938","https://openalex.org/W2964070360","https://openalex.org/W3098322906"],"related_works":["https://openalex.org/W2111827030","https://openalex.org/W2272768744","https://openalex.org/W4237106426","https://openalex.org/W3035964814","https://openalex.org/W2311450085","https://openalex.org/W2107260502","https://openalex.org/W3168918549","https://openalex.org/W4232587025","https://openalex.org/W3020292803","https://openalex.org/W2309230723"],"abstract_inverted_index":{"In":[0,174],"the":[1,5,26,49,94,155],"big":[2,37],"data":[3,6,18,32,38],"era,":[4],"are":[7,19,172],"generated":[8],"from":[9,14],"different":[10,15,52],"sources":[11],"or":[12],"observed":[13],"views.":[16,78],"These":[17],"referred":[20],"to":[21,70,93],"as":[22,129,187],"multi-view":[23,31,86,115,120,123,181,194],"data.":[24,57],"Unleashing":[25],"power":[27],"of":[28,51,85,160],"knowledge":[29],"in":[30,36,65],"is":[33,126,138],"very":[34],"important":[35],"mining":[39],"and":[40,73,96,99,118,132,144,191],"analysis.":[41],"This":[42,79,149],"calls":[43],"for":[44,157,168,193],"advanced":[45],"techniques":[46,171],"that":[47],"consider":[48],"diversity":[50],"views,":[53],"while":[54],"fusing":[55],"these":[56,101,170],"Multi-view":[58,135],"Clustering":[59],"(MvC)":[60],"has":[61],"attracted":[62],"increasing":[63],"attention":[64],"recent":[66],"years":[67],"by":[68],"aiming":[69],"exploit":[71],"complementary":[72],"consensus":[74],"information":[75],"across":[76],"multiple":[77],"paper":[80,150,185],"summarizes":[81],"a":[82,90,165],"large":[83],"number":[84],"clustering":[87,125,137],"algorithms,":[88,109],"provides":[89],"taxonomy":[91],"according":[92],"mechanisms":[95,156],"principles":[97],"involved,":[98],"classifies":[100],"algorithms":[102],"into":[103,141],"five":[104],"categories,":[105],"namely,":[106],"co-training":[107],"style":[108],"multi-kernel":[110],"learning,":[111],"multiview":[112],"graph":[113,124],"clustering,":[114,117],"subspace":[116,136,142],"multi-task":[119],"clustering.":[121,195],"Therein,":[122],"further":[127,139],"categorized":[128],"graph-based,":[130],"network-based,":[131],"spectral-based":[133],"methods.":[134,148],"divided":[140],"learning-based,":[143],"non-negative":[145],"matrix":[146],"factorization-based":[147],"does":[151],"not":[152],"only":[153],"introduce":[154],"each":[158],"category":[159],"methods,":[161],"but":[162],"also":[163],"gives":[164],"few":[166],"examples":[167],"how":[169],"used.":[173],"addition,":[175],"it":[176],"lists":[177],"some":[178],"publically":[179],"available":[180],"datasets.":[182],"Overall,":[183],"this":[184],"serves":[186],"an":[188],"introductory":[189],"text":[190],"survey":[192]},"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":81},{"year":2024,"cited_by_count":85},{"year":2023,"cited_by_count":74},{"year":2022,"cited_by_count":76},{"year":2021,"cited_by_count":74},{"year":2020,"cited_by_count":50},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":7}],"updated_date":"2026-05-10T08:33:47.465468","created_date":"2025-10-10T00:00:00"}
