{"id":"https://openalex.org/W3165231040","doi":"https://doi.org/10.1109/tmm.2021.3081930","title":"Consensus Graph Learning for Multi-View Clustering","display_name":"Consensus Graph Learning for Multi-View Clustering","publication_year":2021,"publication_date":"2021-05-20","ids":{"openalex":"https://openalex.org/W3165231040","doi":"https://doi.org/10.1109/tmm.2021.3081930","mag":"3165231040"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3081930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3081930","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5090517805","display_name":"Zhenglai Li","orcid":"https://orcid.org/0000-0002-9151-3631"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenglai Li","raw_affiliation_strings":["School of Computer, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9151-3631","affiliations":[{"raw_affiliation_string":"School of Computer, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033240507","display_name":"Chang Tang","orcid":"https://orcid.org/0000-0002-6515-7696"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Tang","raw_affiliation_strings":["School of Computer, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6515-7696","affiliations":[{"raw_affiliation_string":"School of Computer, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9066-1475","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652153","display_name":"Xiao Zheng","orcid":"https://orcid.org/0000-0002-5843-9206"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zheng","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079321466","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-8947-9067"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputing Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-8947-9067","affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputing Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069681054","display_name":"En Zhu","orcid":"https://orcid.org/0000-0003-2305-7555"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Zhu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2305-7555","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.8986,"has_fulltext":false,"cited_by_count":316,"citation_normalized_percentile":{"value":0.99675918,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"24","issue":null,"first_page":"2461","last_page":"2472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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":0.9984999895095825,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9918000102043152,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6726826429367065},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.621471107006073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.61222904920578},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5714917182922363},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.5215240120887756},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4697200357913971},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4181777834892273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35782432556152344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3458538055419922},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29216673970222473}],"concepts":[{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6726826429367065},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.621471107006073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61222904920578},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5714917182922363},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5215240120887756},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4697200357913971},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4181777834892273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35782432556152344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3458538055419922},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29216673970222473},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3081930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3081930","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W201974436","https://openalex.org/W1572158434","https://openalex.org/W1907775068","https://openalex.org/W1979089718","https://openalex.org/W1997201895","https://openalex.org/W2003217181","https://openalex.org/W2119362355","https://openalex.org/W2197707282","https://openalex.org/W2199534117","https://openalex.org/W2234634182","https://openalex.org/W2301166038","https://openalex.org/W2505029951","https://openalex.org/W2565835729","https://openalex.org/W2604723872","https://openalex.org/W2737186053","https://openalex.org/W2740464254","https://openalex.org/W2748391982","https://openalex.org/W2801765193","https://openalex.org/W2893652381","https://openalex.org/W2895210058","https://openalex.org/W2896169497","https://openalex.org/W2897402090","https://openalex.org/W2898199757","https://openalex.org/W2898233200","https://openalex.org/W2906217954","https://openalex.org/W2921065608","https://openalex.org/W2940460948","https://openalex.org/W2943996654","https://openalex.org/W2949579163","https://openalex.org/W2963885538","https://openalex.org/W2964169082","https://openalex.org/W2964281014","https://openalex.org/W2964378376","https://openalex.org/W2977506081","https://openalex.org/W2983762999","https://openalex.org/W2988613494","https://openalex.org/W2991439739","https://openalex.org/W2996095042","https://openalex.org/W2996771119","https://openalex.org/W2997739739","https://openalex.org/W3003590623","https://openalex.org/W3004172398","https://openalex.org/W3007380221","https://openalex.org/W3015899030","https://openalex.org/W3024343454","https://openalex.org/W3034422685","https://openalex.org/W3047358409","https://openalex.org/W3083131734","https://openalex.org/W3089039599","https://openalex.org/W3099920683","https://openalex.org/W3120689699","https://openalex.org/W6676726796","https://openalex.org/W6684578312","https://openalex.org/W6725836693","https://openalex.org/W6731811539","https://openalex.org/W6762833281"],"related_works":["https://openalex.org/W1482912984","https://openalex.org/W2972477132","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W3038102983","https://openalex.org/W2950907416","https://openalex.org/W1559483280"],"abstract_inverted_index":{"Multi-view":[0],"clustering,":[1],"which":[2,30],"exploits":[3],"the":[4,48,82,95,101,106,110,128,141,156,167,172,188,202,205],"multi-view":[5,28,53,63],"information":[6,134],"to":[7,46,69,130,154,186,200],"partition":[8],"data":[9],"into":[10,115,149],"their":[11],"clusters,":[12],"has":[13],"attracted":[14],"intense":[15],"attention.":[16],"However,":[17],"most":[18],"existing":[19],"methods":[20],"directly":[21],"learn":[22],"a":[23,61,76,116,121,150],"similarity":[24,39,73,97,169],"graph":[25,40,74,170],"from":[26,94,171],"original":[27,83],"features,":[29],"inevitably":[31],"contain":[32],"noises":[33],"and":[34,43,99,144,160,216],"redundancy":[35],"information.":[36],"The":[37,208],"learned":[38],"is":[41,44,67,184,210],"inaccurate":[42],"insufficient":[45],"depict":[47],"underlying":[49],"cluster":[50],"structure":[51],"of":[52,81,109,204],"data.":[54],"To":[55],"address":[56],"this":[57],"issue,":[58],"we":[59,87,119,139,165],"propose":[60],"novel":[62],"clustering":[64],"method":[65],"that":[66],"able":[68],"construct":[70],"an":[71,176],"essential":[72],"in":[75],"spectral":[77,91,112,142,157],"embedding":[78,92,113,143,158],"space":[79],"instead":[80],"feature":[84],"space.":[85],"Concretely,":[86],"first":[88],"obtain":[89,166],"multiple":[90,136],"matrices":[93,103,114,159,174],"view-specific":[96],"graphs,":[98],"reorganize":[100],"gram":[102,173],"constructed":[104],"by":[105,212],"inner":[107],"product":[108],"normalized":[111],"tensor.":[117],"Then,":[118],"impose":[120],"weighted":[122],"tensor":[123,129,147,161],"nuclear":[124],"norm":[125],"constraint":[126],"on":[127,194],"capture":[131],"high-order":[132],"consistent":[133],"among":[135],"views.":[137],"Furthermore,":[138],"unify":[140],"low":[145],"rank":[146],"learning":[148],"unified":[151],"optimization":[152,182,190],"framework":[153],"determine":[155],"representation":[162],"jointly.":[163],"Finally,":[164],"consensus":[168],"via":[175],"adaptive":[177],"neighbor":[178],"manner.":[179],"An":[180],"efficient":[181],"algorithm":[183],"designed":[185],"solve":[187],"resultant":[189],"problem.":[191],"Extensive":[192],"experiments":[193],"six":[195],"benchmark":[196],"datasets":[197],"are":[198],"conducted":[199],"verify":[201],"efficacy":[203],"proposed":[206],"method.":[207],"code":[209],"implemented":[211],"using":[213],"MATLAB":[214],"R2018a":[215],"MindSpore":[217],"library":[218],"<xref":[219],"ref-type=\"bibr\"":[220],"rid=\"ref1\">[1]</xref>:":[221],"<uri>https://github.com/guanyuezhen/CGL</uri>.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":32},{"year":2025,"cited_by_count":86},{"year":2024,"cited_by_count":90},{"year":2023,"cited_by_count":68},{"year":2022,"cited_by_count":34},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
