{"id":"https://openalex.org/W7166889199","doi":"https://doi.org/10.1016/j.patcog.2026.114350","title":"Efficient one-pass incomplete multi-view clustering via anchor alignment and high-order correlation exploitation","display_name":"Efficient one-pass incomplete multi-view clustering via anchor alignment and high-order correlation exploitation","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7166889199","doi":"https://doi.org/10.1016/j.patcog.2026.114350"},"language":"en","primary_location":{"id":"doi:10.1016/j.patcog.2026.114350","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.patcog.2026.114350","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","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/A5020627937","display_name":"Yu Gan","orcid":"https://orcid.org/0000-0003-3409-3412"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Gan","raw_affiliation_strings":["Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan 430065, China","School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei 430065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan 430065, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei 430065, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100311253","display_name":"Tingzhou Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113530","display_name":"Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute","ror":"https://ror.org/01hf8qc75","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210113530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingzhou Yan","raw_affiliation_strings":["Hubei Communications Planning and Design Institute Co., Ltd., Wuhan 430051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Communications Planning and Design Institute Co., Ltd., Wuhan 430051, China","institution_ids":["https://openalex.org/I4210113530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065859286","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-9198-3951"},"institutions":[{"id":"https://openalex.org/I4210113530","display_name":"Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute","ror":"https://ror.org/01hf8qc75","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210113530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongtao Li","raw_affiliation_strings":["Hubei Communications Planning and Design Institute Co., Ltd., Wuhan 430051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Communications Planning and Design Institute Co., Ltd., Wuhan 430051, China","institution_ids":["https://openalex.org/I4210113530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139840036","display_name":"Xinzhong Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinzhong Zhu","raw_affiliation_strings":["School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Normal University, Jinhua 321004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Normal University, Jinhua 321004, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139717896","display_name":"Wei Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Hu","raw_affiliation_strings":["Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan 430065, China","School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei 430065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan 430065, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei 430065, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139803951","display_name":"Chang Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Tang","raw_affiliation_strings":["School of Software Engineering, Huazhong University of Science and Technology, Wuhan 430074, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Huazhong University of Science and Technology, Wuhan 430074, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5139717896","https://openalex.org/A5139840036"],"corresponding_institution_ids":["https://openalex.org/I135237710","https://openalex.org/I43922553"],"apc_list":{"value":2850,"currency":"USD","value_usd":2850},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8227737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"180","issue":null,"first_page":"114350","last_page":"114350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.5077000260353088,"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":0.5077000260353088,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.08709999918937683,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.07959999889135361,"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":0.7910000085830688},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5408999919891357},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5331000089645386},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5271000266075134},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.40619999170303345},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4016000032424927},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.3919000029563904},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.3675000071525574},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.36320000886917114}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7910000085830688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650600016117096},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5408999919891357},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5331000089645386},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5271000266075134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5188999772071838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4636000096797943},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.40619999170303345},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.3919000029563904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36970001459121704},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.3675000071525574},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.36320000886917114},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.3052999973297119},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.29829999804496765},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.2903999984264374},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27469998598098755},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.2653000056743622},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.patcog.2026.114350","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.patcog.2026.114350","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-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":41,"referenced_works":["https://openalex.org/W1992426838","https://openalex.org/W2007972815","https://openalex.org/W2080843093","https://openalex.org/W2565835729","https://openalex.org/W2808465901","https://openalex.org/W2899604627","https://openalex.org/W3021342796","https://openalex.org/W3047358409","https://openalex.org/W4200226646","https://openalex.org/W4212834658","https://openalex.org/W4280583218","https://openalex.org/W4288064731","https://openalex.org/W4289535947","https://openalex.org/W4312574624","https://openalex.org/W4313041774","https://openalex.org/W4320008873","https://openalex.org/W4367849720","https://openalex.org/W4376619374","https://openalex.org/W4382371088","https://openalex.org/W4386071507","https://openalex.org/W4386071520","https://openalex.org/W4386755685","https://openalex.org/W4387968627","https://openalex.org/W4388101626","https://openalex.org/W4391696966","https://openalex.org/W4396877945","https://openalex.org/W4400112754","https://openalex.org/W4400488769","https://openalex.org/W4401878948","https://openalex.org/W4404871653","https://openalex.org/W4408609322","https://openalex.org/W4410027922","https://openalex.org/W4411726016","https://openalex.org/W4414110860","https://openalex.org/W4414298356","https://openalex.org/W4414322221","https://openalex.org/W4414359862","https://openalex.org/W7140286317","https://openalex.org/W7155406857","https://openalex.org/W7163669416","https://openalex.org/W7164155269"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-07-02T00:00:00"}