{"id":"https://openalex.org/W4402979897","doi":"https://doi.org/10.1109/icme57554.2024.10688164","title":"Anchor Based Multi-view Clustering for Partially View-Aligned Data","display_name":"Anchor Based Multi-view Clustering for Partially View-Aligned Data","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979897","doi":"https://doi.org/10.1109/icme57554.2024.10688164"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688164","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5115603771","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0002-0962-5870"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["Dalian University of Technology,School of Software Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103006997","display_name":"Yukun Yuan","orcid":"https://orcid.org/0000-0002-6213-4448"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Yuan","raw_affiliation_strings":["Dalian University of Technology,School of Software Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058519651","display_name":"Qiongjie Xie","orcid":"https://orcid.org/0009-0000-2235-5839"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiongjie Xie","raw_affiliation_strings":["Dalian University of Technology,School of Software Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048590247","display_name":"Ziyue Wang","orcid":"https://orcid.org/0009-0006-8941-6169"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyue Wang","raw_affiliation_strings":["Dalian University of Technology,School of Software Technology,Dalian,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Software Technology,Dalian,China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115603771"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.3616,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67504203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9569000005722046,"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":0.9569000005722046,"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":0.7403844594955444},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.667981743812561},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3370243310928345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.321109414100647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7403844594955444},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.667981743812561},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3370243310928345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.321109414100647}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688164","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Clustering":[0,62],"on":[1,34,141],"the":[2,13,35,40,47,75,100,105,110,121,128],"partially":[3],"view-aligned":[4,65],"multi-view":[5,144],"data,":[6],"where":[7],"only":[8],"a":[9,70,134],"small":[10],"portion":[11],"of":[12,94,104,113],"cross-view":[14,42,76,86,106],"correspondences":[15],"is":[16],"accurately":[17],"mapped,":[18],"has":[19],"gained":[20],"more":[21,23],"and":[22,56,102,115],"attention":[24],"in":[25],"recent":[26],"years.":[27],"However,":[28],"current":[29],"methods":[30],"need":[31],"to":[32,72,97,119,125],"train":[33],"aligned":[36,80],"instances":[37,81,87,114],"before":[38],"reconstructing":[39],"missing":[41],"relationships,":[43],"which":[44,123],"significantly":[45],"increases":[46],"time":[48],"burden.":[49],"Therefore,":[50],"this":[51],"paper":[52],"proposes":[53],"an":[54],"efficient":[55],"effective":[57],"method":[58,71,137],"termed":[59],"Anchor-based":[60],"Multi-view":[61],"for":[63],"Partially":[64],"data":[66],"(AMCP).":[67],"We":[68],"design":[69],"directly":[73],"measure":[74],"similarity":[77,118],"by":[78],"utilizing":[79],"as":[82],"anchors":[83],"since":[84],"similar":[85,90],"should":[88],"exhibit":[89],"within-view":[91],"indicator":[92],"vectors":[93],"anchors.":[95],"Moreover,":[96],"further":[98],"improve":[99],"accuracy":[101],"robustness":[103],"relationship,":[107,122],"we":[108],"consider":[109],"nearest":[111],"neighbors":[112],"compare":[116],"their":[117],"refine":[120],"helps":[124],"deal":[126],"with":[127],"low":[129],"alignment":[130],"rate":[131],"settings.":[132],"As":[133],"result,":[135],"our":[136],"demonstrates":[138],"competitive":[139],"performance":[140],"several":[142],"real-world":[143],"datasets.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}