{"id":"https://openalex.org/W4396629458","doi":"https://doi.org/10.1109/tnnls.2024.3388192","title":"Cross-View Approximation on Grassmann Manifold for Multiview Clustering","display_name":"Cross-View Approximation on Grassmann Manifold for Multiview Clustering","publication_year":2024,"publication_date":"2024-05-03","ids":{"openalex":"https://openalex.org/W4396629458","doi":"https://doi.org/10.1109/tnnls.2024.3388192","pmid":"https://pubmed.ncbi.nlm.nih.gov/38700968"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3388192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3388192","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/A5000337914","display_name":"Yidan Ma","orcid":"https://orcid.org/0000-0002-9750-439X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidan Ma","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering and the School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-9750-439X","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering and the School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024324156","display_name":"Xinjie Shen","orcid":"https://orcid.org/0009-0004-9176-5400"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjie Shen","raw_affiliation_strings":["School of Future Technology, South China University of Technology, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Future Technology, South China University of Technology, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027472534","display_name":"Danyang Wu","orcid":"https://orcid.org/0000-0002-0309-1409"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyang Wu","raw_affiliation_strings":["College of Information Engineering and Shaanxi Engineering Research Center for Intelligent Perception and Analysis of Agricultural Information, Northwest A&F University, Xianyang, Shaanxi, China","College of Information Engineering and Shaanxi Engineering Research Center for Intelligent Perception and Analysis of Agricultural Information, Northwest A and F University, Xianyang, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0309-1409","affiliations":[{"raw_affiliation_string":"College of Information Engineering and Shaanxi Engineering Research Center for Intelligent Perception and Analysis of Agricultural Information, Northwest A&F University, Xianyang, Shaanxi, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"College of Information Engineering and Shaanxi Engineering Research Center for Intelligent Perception and Analysis of Agricultural Information, Northwest A and F University, Xianyang, Shaanxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianfu Cao","orcid":"https://orcid.org/0009-0005-1311-9670"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfu Cao","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering and the School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0009-0005-1311-9670","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering and the School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","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 Computer Science and the School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-0871-6519","affiliations":[{"raw_affiliation_string":"School of Computer Science and the School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2262,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7927286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"36","issue":"4","first_page":"7772","last_page":"7777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9853000044822693,"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":0.9853000044822693,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9821000099182129,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9782000184059143,"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/cluster-analysis","display_name":"Cluster analysis","score":0.733096718788147},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7121889591217041},{"id":"https://openalex.org/keywords/grassmannian","display_name":"Grassmannian","score":0.7116338610649109},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.5570635199546814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5305443406105042},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.5303913950920105},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.476337730884552},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44763052463531494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42905205488204956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42781105637550354},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.41952231526374817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41473934054374695},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.3711702227592468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36401820182800293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35156887769699097},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28478729724884033},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.2329730987548828},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.19669941067695618},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.1348661482334137}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.733096718788147},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7121889591217041},{"id":"https://openalex.org/C162929932","wikidata":"https://www.wikidata.org/wiki/Q129638","display_name":"Grassmannian","level":2,"score":0.7116338610649109},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.5570635199546814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5305443406105042},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.5303913950920105},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.476337730884552},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44763052463531494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42905205488204956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42781105637550354},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.41952231526374817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41473934054374695},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.3711702227592468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36401820182800293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35156887769699097},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28478729724884033},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2329730987548828},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.19669941067695618},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.1348661482334137},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3388192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3388192","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:38700968","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38700968","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":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G243063447","display_name":null,"funder_award_id":"2022B01008","funder_id":"https://openalex.org/F4320317385","funder_display_name":"Government of Xinjiang Uygur Autonomous Region of China"},{"id":"https://openalex.org/G3997060219","display_name":null,"funder_award_id":"242300421417","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320317385","display_name":"Government of Xinjiang Uygur Autonomous Region of China","ror":null},{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1278605765","https://openalex.org/W1977556410","https://openalex.org/W2098089028","https://openalex.org/W2577472518","https://openalex.org/W2809506935","https://openalex.org/W2970354123","https://openalex.org/W2972477132","https://openalex.org/W2981206386","https://openalex.org/W2996771119","https://openalex.org/W3035396932","https://openalex.org/W3044063956","https://openalex.org/W3049595097","https://openalex.org/W3072262295","https://openalex.org/W3137047567","https://openalex.org/W3176694003","https://openalex.org/W3176947484","https://openalex.org/W3188049483","https://openalex.org/W3189403855","https://openalex.org/W3196097552","https://openalex.org/W4214544745","https://openalex.org/W4280632002","https://openalex.org/W4283827931","https://openalex.org/W4285603490","https://openalex.org/W4287891019","https://openalex.org/W4289341676","https://openalex.org/W4293249645","https://openalex.org/W4304091655","https://openalex.org/W4312238451","https://openalex.org/W4313427311","https://openalex.org/W4315926876","https://openalex.org/W4319068889","https://openalex.org/W4324292597","https://openalex.org/W4361984358","https://openalex.org/W4382317881","https://openalex.org/W4382458085","https://openalex.org/W4383215492","https://openalex.org/W4386076100","https://openalex.org/W4389692446","https://openalex.org/W6731811539","https://openalex.org/W6767118092"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W3109610583","https://openalex.org/W2387045723","https://openalex.org/W2604585036","https://openalex.org/W2375518579","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810"],"abstract_inverted_index":{"In":[0,23,31],"existing":[1],"multiview":[2,9,50],"clustering":[3,21],"research,":[4],"the":[5,59,74,90,97,100,104,116,131],"comprehensive":[6],"learning":[7],"from":[8,58],"graph":[10],"and":[11,55,85],"feature":[12,53],"spaces":[13],"simultaneously":[14],"remains":[15],"insufficient":[16],"when":[17],"achieving":[18],"a":[19,25,36,65,78],"consistent":[20],"structure.":[22],"addition,":[24],"postprocessing":[26],"step":[27],"is":[28,44,107,119],"often":[29],"required.":[30],"light":[32],"of":[33,92,103,133],"these":[34],"considerations,":[35],"cross-view":[37,56,87],"approximation":[38,91],"on":[39,96,123],"Grassman":[40],"manifold":[41],"(CAGM)":[42],"model":[43,63,76,118],"proposed":[45,135],"to":[46,82,115,129],"address":[47],"inconsistencies":[48],"within":[49],"adjacency":[51],"matrices,":[52,54],"combinations":[57],"two":[60,93],"sources.":[61],"The":[62],"uses":[64],"ratio-formed":[66],"objective":[67],"function,":[68],"enabling":[69],"parameter-free":[70],"bidirectional":[71],"fusion.":[72],"Furthermore,":[73,109],"CAGM":[75,117],"incorporates":[77],"paired":[79],"encoding":[80],"mechanism":[81],"generate":[83],"low-dimensional":[84],"orthogonal":[86],"embeddings.":[88],"Through":[89],"measurable":[94],"subspaces":[95],"Grassmann":[98],"manifold,":[99],"direct":[101],"acquisition":[102],"indicator":[105],"matrix":[106],"realized.":[108],"an":[110],"effective":[111],"optimization":[112],"algorithm":[113],"corresponding":[114],"derived.":[120],"Comprehensive":[121],"experiments":[122],"four":[124],"real-world":[125],"datasets":[126],"are":[127],"conducted":[128],"substantiate":[130],"effectiveness":[132],"our":[134],"method.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}