{"id":"https://openalex.org/W4407315230","doi":"https://doi.org/10.1109/lsp.2025.3540369","title":"Embedded Multi-View Clustering via Collaborative Tensor Subspace Representation and Multi-Graph Fusion","display_name":"Embedded Multi-View Clustering via Collaborative Tensor Subspace Representation and Multi-Graph Fusion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407315230","doi":"https://doi.org/10.1109/lsp.2025.3540369"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3540369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3540369","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5100432452","display_name":"Jingyu Wang","orcid":"https://orcid.org/0000-0001-7017-1938"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Wang","raw_affiliation_strings":["College of Mathematical Sciences, Harbin Engineering University, Harbin, China","College of Mathematical Sciences, Harbin Engineering University, Harbin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, P.R. China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008486437","display_name":"Tingquan Deng","orcid":"https://orcid.org/0000-0002-0168-5414"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingquan Deng","raw_affiliation_strings":["College of Mathematical Sciences, Harbin Engineering University, Harbin, China","College of Mathematical Sciences, Harbin Engineering University, Harbin, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-0168-5414","affiliations":[{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, P.R. China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113306717","display_name":"Ming Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["College of Mathematical Sciences, Harbin Engineering University, Harbin, China","College of Mathematical Sciences, Harbin Engineering University, Harbin, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-1810-1566","affiliations":[{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, P.R. China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102747896","display_name":"Jiayi Wang","orcid":"https://orcid.org/0009-0003-7448-9574"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Wang","raw_affiliation_strings":["College of Mathematical Sciences, Harbin Engineering University, Harbin, China","College of Mathematical Sciences, Harbin Engineering University, Harbin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Mathematical Sciences, Harbin Engineering University, Harbin, P.R. China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":2.1679,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86347682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"32","issue":null,"first_page":"911","last_page":"915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.977400004863739,"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":0.977400004863739,"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":0.9614999890327454,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9587000012397766,"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":0.6106895208358765},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5890569686889648},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5788597464561462},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4818781316280365},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.475408136844635},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46692606806755066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4283676743507385},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4263771176338196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40481969714164734},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3139474391937256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30968981981277466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6106895208358765},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5890569686889648},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5788597464561462},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4818781316280365},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.475408136844635},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46692606806755066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4283676743507385},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4263771176338196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40481969714164734},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3139474391937256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30968981981277466},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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:10.1109/lsp.2025.3540369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3540369","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3000994218","display_name":null,"funder_award_id":"30722024CFJ2403","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3647642487","display_name":null,"funder_award_id":"12171115","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1993962865","https://openalex.org/W2043571470","https://openalex.org/W2080843093","https://openalex.org/W2107861471","https://openalex.org/W2171837816","https://openalex.org/W2604723872","https://openalex.org/W2809465549","https://openalex.org/W2921065608","https://openalex.org/W2972477132","https://openalex.org/W2997739739","https://openalex.org/W3111290000","https://openalex.org/W3118054267","https://openalex.org/W3130503331","https://openalex.org/W3165231040","https://openalex.org/W3214968154","https://openalex.org/W4200560153","https://openalex.org/W4280632002","https://openalex.org/W4283792797","https://openalex.org/W4283827931","https://openalex.org/W4284898496","https://openalex.org/W4285267121","https://openalex.org/W4307501835","https://openalex.org/W4323671420","https://openalex.org/W4383751870","https://openalex.org/W4387385813","https://openalex.org/W4388262265","https://openalex.org/W4389272722","https://openalex.org/W4389664892","https://openalex.org/W4392157615","https://openalex.org/W4397009578","https://openalex.org/W4397030525","https://openalex.org/W4397031049","https://openalex.org/W4398784865","https://openalex.org/W4399310986","https://openalex.org/W4399562512","https://openalex.org/W4401485050","https://openalex.org/W4402125159","https://openalex.org/W4402468037","https://openalex.org/W6691622084"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W4293472652","https://openalex.org/W4362519919","https://openalex.org/W2890370013"],"abstract_inverted_index":{"Multi-view":[0],"clustering":[1,25,39,48,90,98],"(MVC)":[2],"strives":[3],"to":[4,34,66,76],"reveal":[5],"the":[6],"hidden":[7],"correlations":[8],"and":[9,24,31,37,56,82],"potential":[10],"distribution":[11],"of":[12],"data":[13],"from":[14],"multiple":[15],"views.":[16],"However,":[17],"most":[18],"existing":[19,122],"methods":[20],"separate":[21],"feature":[22],"extraction":[23],"processes,":[26],"relying":[27],"heavily":[28],"on":[29,114],"pre-learning":[30],"post-processing,":[32],"leading":[33],"information":[35],"loss":[36],"suboptimal":[38],"results.":[40],"Therefore,":[41],"we":[42],"propose":[43],"a":[44,105],"novel":[45],"embedded":[46,97],"multi-view":[47],"model":[49],"EMVCTM":[50,120],"via":[51],"collaborative":[52],"tensor":[53,61],"subspace":[54],"representation":[55],"adaptive":[57],"multi-graph":[58],"fusion.":[59],"The":[60,87],"self-representation":[62],"framework":[63,99],"is":[64,92],"designed":[65],"capture":[67],"global":[68],"structural":[69],"information.":[70],"Symmetry":[71],"constraints":[72],"are":[73],"relaxed":[74],"synchronously":[75],"adaptively":[77],"learn":[78],"view-specific":[79],"affinity":[80],"graphs":[81],"dynamically":[83],"generate":[84],"fusion":[85],"graph.":[86],"near-global":[88],"optimal":[89],"result":[91],"derived":[93],"through":[94],"an":[95],"efficient":[96],"with":[100],"activated":[101],"view":[102],"interactions,":[103],"providing":[104],"more":[106],"interpretable":[107],"explanation":[108],"for":[109],"cluster":[110],"division.":[111],"Experimental":[112],"results":[113],"various":[115],"real-world":[116],"datasets":[117],"confirm":[118],"that":[119],"outperforms":[121],"state-of-the-art":[123],"techniques.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
