{"id":"https://openalex.org/W4409154664","doi":"https://doi.org/10.1109/tnnls.2025.3551159","title":"EMLFCL: An Efficient Multilevel Fusion Contrastive Learning for Multiview Clustering","display_name":"EMLFCL: An Efficient Multilevel Fusion Contrastive Learning for Multiview Clustering","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409154664","doi":"https://doi.org/10.1109/tnnls.2025.3551159","pmid":"https://pubmed.ncbi.nlm.nih.gov/40184283"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3551159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3551159","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5074492862","display_name":"Yugen Yi","orcid":"https://orcid.org/0000-0001-9828-0319"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugen Yi","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0001-9828-0319","affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101679609","display_name":"Ningyi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningyi Zhang","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662990","display_name":"Zehui Zhang","orcid":"https://orcid.org/0000-0002-2641-4733"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehui Zhang","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116252131","display_name":"Yijian Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijian Fu","raw_affiliation_strings":["School of Software, Jiangxi Normal University, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Jiangxi Normal University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["BoulderAI Technologies Company Ltd., Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BoulderAI Technologies Company Ltd., Hangzhou, Zhejiang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387975","display_name":"Jianzhong Wang","orcid":"https://orcid.org/0000-0002-6867-3282"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhong Wang","raw_affiliation_strings":["College of Information Science and Technology, Northeast Normal University, Changchun, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0002-6867-3282","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Northeast Normal University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5311,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81381799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"36","issue":"8","first_page":"14228","last_page":"14242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9817000031471252,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9817000031471252,"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/T11439","display_name":"Video Analysis and Summarization","score":0.978600025177002,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9772999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5845282673835754},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5654430985450745},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5405489802360535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48838871717453003},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12200352549552917},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.04512268304824829}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5845282673835754},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5654430985450745},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5405489802360535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48838871717453003},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12200352549552917},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.04512268304824829}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3551159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3551159","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40184283","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40184283","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2086286173","display_name":"\u57fa\u4e8e\u5f69\u8272\u773c\u5e95\u56fe\u50cf\u7684\u9752\u5149\u773c\u8f85\u52a9\u8bca\u65ad\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62062040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4013290492","display_name":null,"funder_award_id":"2412024JD015","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4594208545","display_name":null,"funder_award_id":"62006174","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1965555842","https://openalex.org/W2006471615","https://openalex.org/W2050997020","https://openalex.org/W2155904486","https://openalex.org/W2787885212","https://openalex.org/W2921065608","https://openalex.org/W2965510190","https://openalex.org/W2965970896","https://openalex.org/W2995857167","https://openalex.org/W2996771119","https://openalex.org/W2998124973","https://openalex.org/W3010318487","https://openalex.org/W3035663159","https://openalex.org/W3035751812","https://openalex.org/W3044096495","https://openalex.org/W3085305372","https://openalex.org/W3089039599","https://openalex.org/W3117265891","https://openalex.org/W3134139876","https://openalex.org/W3144293453","https://openalex.org/W3173972271","https://openalex.org/W3176728172","https://openalex.org/W3210242454","https://openalex.org/W4206635403","https://openalex.org/W4221023051","https://openalex.org/W4221160818","https://openalex.org/W4225473713","https://openalex.org/W4225888914","https://openalex.org/W4280531754","https://openalex.org/W4281812994","https://openalex.org/W4283792797","https://openalex.org/W4285601884","https://openalex.org/W4288735502","https://openalex.org/W4290703015","https://openalex.org/W4292348099","https://openalex.org/W4293183114","https://openalex.org/W4293249645","https://openalex.org/W4293416771","https://openalex.org/W4304080225","https://openalex.org/W4310069575","https://openalex.org/W4312280106","https://openalex.org/W4312564677","https://openalex.org/W4312678820","https://openalex.org/W4312881178","https://openalex.org/W4312973985","https://openalex.org/W4313648745","https://openalex.org/W4317743260","https://openalex.org/W4319300221","https://openalex.org/W4321020993","https://openalex.org/W4321113904","https://openalex.org/W4321608130","https://openalex.org/W4360770799","https://openalex.org/W4367016851","https://openalex.org/W4386071520","https://openalex.org/W4386435736","https://openalex.org/W4387968141","https://openalex.org/W4391696966","https://openalex.org/W4392823840","https://openalex.org/W4393380945","https://openalex.org/W4396753439","https://openalex.org/W4401416083","https://openalex.org/W4401485050","https://openalex.org/W4401725932","https://openalex.org/W6762833281","https://openalex.org/W6779940601","https://openalex.org/W6780191644","https://openalex.org/W6784694379","https://openalex.org/W6796597629","https://openalex.org/W6811009250"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Multiview":[0],"clustering":[1,98,116,189],"(MVC)":[2],"with":[3,196],"contrastive":[4],"learning":[5],"(CL)":[6],"has":[7],"attracted":[8],"considerable":[9],"interest.":[10],"Nevertheless,":[11],"current":[12],"methods":[13,39],"have":[14],"specific":[15],"drawbacks":[16],"since":[17],"the":[18,28,33,90,97,110,115,137,141,152,192],"coherence":[19],"between":[20,125,133],"views":[21,135],"in":[22],"them":[23],"is":[24],"limited":[25,44],"either":[26],"at":[27,108],"feature":[29,111],"representation":[30,35,85,112,117],"level":[31,113],"or":[32],"cluster":[34],"level.":[36,118],"Besides,":[37],"certain":[38],"demonstrate":[40],"subpar":[41],"performance":[42],"and":[43,75,82,114,136,156,187],"robustness":[45],"when":[46],"handling":[47],"noisy":[48,157],"data.":[49],"This":[50],"article":[51],"introduces":[52],"an":[53,103],"efficient":[54,104],"multilevel":[55,105],"fusion":[56,77],"CL":[57,106,129],"framework":[58],"for":[59],"MVC":[60],"called":[61],"EMLFCL.":[62],"The":[63,163],"EMLFCL":[64],"model":[65,161],"seamlessly":[66],"incorporates":[67],"a":[68,76],"shared":[69,146],"multi-layer":[70],"perceptron":[71],"(MLP)":[72],"network":[73,78],"(MNet)":[74],"(FNet)":[79],"to":[80],"capture":[81],"merge":[83],"common":[84],"information,":[86,147],"which":[87],"effectively":[88,150],"eliminates":[89],"impact":[91],"of":[92,154],"view-specific":[93,155],"private":[94],"information":[95,159],"during":[96],"process.":[99],"Specifically,":[100],"we":[101],"establish":[102],"strategy":[107,130,149],"both":[109],"Rather":[119],"than":[120],"rely":[121],"on":[122,160,176,191],"pairwise":[123],"comparisons":[124,132],"views,":[126,198],"our":[127],"proposed":[128,164],"makes":[131],"different":[134,197],"anchor":[138,142],"view.":[139],"Since":[140],"view":[143,158],"contains":[144],"abundant":[145],"this":[148],"mitigates":[151],"influence":[153],"performance.":[162],"method":[165],"outperforms":[166],"numerous":[167],"advanced":[168],"approaches,":[169],"as":[170],"evidenced":[171],"by":[172],"extensive":[173],"experiments":[174],"conducted":[175],"eleven":[177],"challenging":[178],"multiview":[179],"datasets.":[180],"Particularly,":[181],"it":[182],"achieves":[183],"66.4%,":[184],"74.7%,":[185],"82.3%,":[186],"86.4%":[188],"accuracies":[190],"four":[193],"Caltech":[194],"datasets":[195],"respectively.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
