{"id":"https://openalex.org/W4410491901","doi":"https://doi.org/10.1109/tcsvt.2025.3570992","title":"Balanced and Discrete Multi-View Clustering With Adaptive Graph Learning","display_name":"Balanced and Discrete Multi-View Clustering With Adaptive Graph Learning","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4410491901","doi":"https://doi.org/10.1109/tcsvt.2025.3570992"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3570992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3570992","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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":null,"display_name":"Mingyu Zhao","orcid":"https://orcid.org/0000-0001-5921-4378"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyu Zhao","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, Shaanxi, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, Shaanxi, China","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, Shaanxi, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019777065","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0001-8182-0243"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Institute of Artificial Intelligence (Tele AI), China Telecom, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence (Tele AI), China Telecom, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":11.474,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98084892,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"35","issue":"10","first_page":"9789","last_page":"9803"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9926000237464905,"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":0.9926000237464905,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9682999849319458,"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/T10057","display_name":"Face and Expression Recognition","score":0.96670001745224,"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/computer-science","display_name":"Computer science","score":0.6631437540054321},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5919980406761169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4486720860004425},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4396190643310547},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4131668210029602},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4025852382183075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.298799991607666},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.17869681119918823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6631437540054321},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5919980406761169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4486720860004425},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4396190643310547},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4131668210029602},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4025852382183075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.298799991607666},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.17869681119918823}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3570992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3570992","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G388360275","display_name":null,"funder_award_id":"62236001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5463958547","display_name":null,"funder_award_id":"62476219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7748902602","display_name":null,"funder_award_id":"62206220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W2007972815","https://openalex.org/W2057624533","https://openalex.org/W2107034620","https://openalex.org/W2107221597","https://openalex.org/W2108763700","https://openalex.org/W2118382442","https://openalex.org/W2142109962","https://openalex.org/W2155904486","https://openalex.org/W2156483112","https://openalex.org/W2329838488","https://openalex.org/W2577472518","https://openalex.org/W2604578492","https://openalex.org/W2604723872","https://openalex.org/W2740464254","https://openalex.org/W2740924709","https://openalex.org/W2776219942","https://openalex.org/W2809299793","https://openalex.org/W2921065608","https://openalex.org/W2940933409","https://openalex.org/W2944238451","https://openalex.org/W2945696115","https://openalex.org/W2962726704","https://openalex.org/W2972477132","https://openalex.org/W3014016484","https://openalex.org/W3023700315","https://openalex.org/W3044063956","https://openalex.org/W3154861349","https://openalex.org/W3165231040","https://openalex.org/W3183553932","https://openalex.org/W4200226646","https://openalex.org/W4205660500","https://openalex.org/W4210792995","https://openalex.org/W4210889028","https://openalex.org/W4214544745","https://openalex.org/W4281812994","https://openalex.org/W4283791860","https://openalex.org/W4283792797","https://openalex.org/W4312238451","https://openalex.org/W4315926876","https://openalex.org/W4320180452","https://openalex.org/W4323671420","https://openalex.org/W4324292597","https://openalex.org/W4360753265","https://openalex.org/W4367016851","https://openalex.org/W4383215492","https://openalex.org/W4386071520","https://openalex.org/W4386798129","https://openalex.org/W4387092720","https://openalex.org/W4391952752","https://openalex.org/W4391984607","https://openalex.org/W4393252733","https://openalex.org/W4393380945","https://openalex.org/W4394699003","https://openalex.org/W4395069475","https://openalex.org/W4396753439","https://openalex.org/W4400726743","https://openalex.org/W4401070161","https://openalex.org/W4401567221","https://openalex.org/W4401725932","https://openalex.org/W4402125159","https://openalex.org/W4402776594","https://openalex.org/W4403999751","https://openalex.org/W4406523276","https://openalex.org/W4407690882","https://openalex.org/W4408124984","https://openalex.org/W4408276406"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2532801570","https://openalex.org/W4385627933","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"Graph-based":[0],"methods":[1,48,164],"have":[2],"demonstrated":[3],"strong":[4],"performance":[5],"in":[6,67,165,184],"multi-view":[7,186],"clustering":[8,34,65,112,168,187],"(MVC)":[9],"due":[10],"to":[11,14,146],"their":[12],"capability":[13],"capture":[15],"complex":[16],"data":[17],"structures.":[18],"Among":[19],"these,":[20],"discrete":[21,46,125],"spectral":[22,100,126],"embedding":[23,101],"learning":[24,102],"has":[25],"emerged":[26],"as":[27],"an":[28,140],"effective":[29],"strategy":[30],"for":[31,79],"directly":[32],"producing":[33],"assignments,":[35,55],"thereby":[36],"avoiding":[37],"potential":[38],"suboptimality":[39],"introduced":[40],"by":[41],"post-processing.":[42],"However,":[43],"most":[44],"existing":[45],"MVC":[47],"overlook":[49],"the":[50,60,109,124,176,180],"problem":[51],"of":[52,64,111,120,167,179],"skewed":[53],"cluster":[54],"which":[56],"can":[57],"significantly":[58],"affect":[59],"quality":[61],"and":[62,81,98,170],"interpretability":[63],"results":[66],"practical":[68],"applications.":[69],"To":[70,134],"address":[71],"this":[72],"issue,":[73],"we":[74,138],"propose":[75],"a":[76,104,130,147],"novel":[77],"framework":[78],"Balanced":[80],"Discrete":[82],"Multi-view":[83],"Clustering":[84],"via":[85],"Adaptive":[86],"Graph":[87],"Learning":[88],"(BDMC-AGL).":[89],"The":[90,118,189],"proposed":[91],"model":[92],"jointly":[93],"integrates":[94],"adaptive":[95],"graph":[96],"construction":[97],"size-constrained":[99],"into":[103,123],"unified":[105],"optimization":[106,132],"framework,":[107],"enhancing":[108],"robustness":[110],"while":[113],"explicitly":[114],"encouraging":[115],"balanced":[116],"partitioning.":[117],"introduction":[119],"size":[121,181],"constraints":[122],"embedding,":[127],"however,":[128],"poses":[129],"challenging":[131],"problem.":[133],"effectively":[135],"solve":[136],"it,":[137],"develop":[139],"efficient":[141],"algorithm":[142],"that":[143,159],"guarantees":[144],"convergence":[145],"locally":[148],"optimal":[149],"solution.":[150],"Extensive":[151],"experiments":[152],"conducted":[153],"on":[154],"eight":[155],"benchmark":[156],"datasets":[157],"demonstrate":[158],"BDMC-AGL":[160],"consistently":[161],"outperforms":[162],"state-of-the-art":[163],"terms":[166],"accuracy":[169],"balance.":[171],"Moreover,":[172],"ablation":[173],"studies":[174],"validate":[175],"significant":[177],"contribution":[178],"constraint":[182],"mechanism":[183],"improving":[185],"performance.":[188],"source":[190],"code":[191],"is":[192],"publicly":[193],"available":[194],"at:":[195],"https://github.com/haha1206/BDMC-AGL.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}