{"id":"https://openalex.org/W4393147606","doi":"https://doi.org/10.1609/aaai.v38i12.29310","title":"Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering","display_name":"Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering","publication_year":2024,"publication_date":"2024-03-24","ids":{"openalex":"https://openalex.org/W4393147606","doi":"https://doi.org/10.1609/aaai.v38i12.29310"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v38i12.29310","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i12.29310","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29310/30472","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29310/30472","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102760584","display_name":"Suyuan Liu","orcid":"https://orcid.org/0000-0003-1481-5393"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suyuan Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073619386","display_name":"Junpu Zhang","orcid":"https://orcid.org/0000-0001-7455-1989"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junpu Zhang","raw_affiliation_strings":["School of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113323864","display_name":"Yi Wen","orcid":"https://orcid.org/0009-0006-1772-4883"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wen","raw_affiliation_strings":["School of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103088081","display_name":"Xihong Yang","orcid":"https://orcid.org/0000-0002-3260-869X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xihong Yang","raw_affiliation_strings":["School of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656645","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0001-9517-262X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["Intelligent Game and Decision Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388177","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-5282-5771"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069681054","display_name":"En Zhu","orcid":"https://orcid.org/0000-0003-2305-7555"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Zhu","raw_affiliation_strings":["School of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033240507","display_name":"Chang Tang","orcid":"https://orcid.org/0000-0002-6515-7696"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Tang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101100555","display_name":"Long Zhao","orcid":"https://orcid.org/0000-0003-3503-2371"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Zhao","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology","institution_ids":["https://openalex.org/I152269853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0674,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97260982,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"38","issue":"12","first_page":"14017","last_page":"14025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9939000010490417,"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":0.9939000010490417,"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":0.9922000169754028,"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/T10057","display_name":"Face and Expression Recognition","score":0.9879999756813049,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7384620904922485},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6645668745040894},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6426613330841064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48465806245803833},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.42930251359939575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.425743043422699},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2773619294166565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2724835276603699},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.057944536209106445},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.052502989768981934}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7384620904922485},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6645668745040894},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6426613330841064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48465806245803833},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.42930251359939575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.425743043422699},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2773619294166565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2724835276603699},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.057944536209106445},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.052502989768981934},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v38i12.29310","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i12.29310","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29310/30472","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/29310","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/29310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v38i12.29310","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i12.29310","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29310/30472","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2455478723","display_name":null,"funder_award_id":"62276271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G550107759","display_name":null,"funder_award_id":"2021JJ30779","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5729763073","display_name":null,"funder_award_id":"62325604","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393147606.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2165874743","https://openalex.org/W2569859441","https://openalex.org/W2577472518","https://openalex.org/W2604120189","https://openalex.org/W2808177501","https://openalex.org/W2891475149","https://openalex.org/W2903938664","https://openalex.org/W2904419448","https://openalex.org/W2964809302","https://openalex.org/W2965970896","https://openalex.org/W2966632286","https://openalex.org/W2967821050","https://openalex.org/W3008561560","https://openalex.org/W3021342796","https://openalex.org/W3047358409","https://openalex.org/W3159374025","https://openalex.org/W3169978599","https://openalex.org/W3176728172","https://openalex.org/W3205673486","https://openalex.org/W3206460183","https://openalex.org/W4210792995","https://openalex.org/W4220898301","https://openalex.org/W4225877894","https://openalex.org/W4284898496","https://openalex.org/W4285276790","https://openalex.org/W4285483676","https://openalex.org/W4289535947","https://openalex.org/W4304098891","https://openalex.org/W4307501835","https://openalex.org/W4312574624","https://openalex.org/W4313041774","https://openalex.org/W4313576235","https://openalex.org/W4319878807","https://openalex.org/W4323065031","https://openalex.org/W4361801401","https://openalex.org/W4386044718","https://openalex.org/W4386435736","https://openalex.org/W4386523149","https://openalex.org/W4387968141","https://openalex.org/W4390874473","https://openalex.org/W6684578312","https://openalex.org/W6730107233","https://openalex.org/W6752355065","https://openalex.org/W6766972023","https://openalex.org/W6841568594","https://openalex.org/W6846578628","https://openalex.org/W6850193118"],"related_works":["https://openalex.org/W4388813866","https://openalex.org/W2999104021","https://openalex.org/W4293088233","https://openalex.org/W2850804095","https://openalex.org/W1481656249","https://openalex.org/W2162280767","https://openalex.org/W1570799877","https://openalex.org/W2800688113","https://openalex.org/W4236933217","https://openalex.org/W2057598446"],"abstract_inverted_index":{"Incomplete":[0,98],"multi-view":[1,14,29,171],"clustering":[2,80,172],"has":[3],"attracted":[4],"much":[5],"attention":[6],"due":[7],"to":[8,11,22,34,57,69,106],"its":[9],"ability":[10,165],"handle":[12],"partial":[13,35],"data.":[15,30],"Recently,":[16],"similarity-based":[17],"methods":[18],"have":[19],"been":[20],"developed":[21],"explore":[23],"the":[24,39,78,84,107,121,126,138,141,146,149,153,164],"complete":[25,60,114],"relationship":[26,124],"among":[27],"incomplete":[28,64,170],"Although":[31],"widely":[32],"applied":[33],"scenarios,":[36],"most":[37],"of":[38,140,148,166],"existing":[40],"approaches":[41],"are":[42],"still":[43],"faced":[44],"with":[45,73],"two":[46],"limitations.":[47],"Firstly,":[48],"fusing":[49],"similarities":[50],"constructed":[51],"individually":[52],"on":[53,120,159],"each":[54],"view":[55],"fails":[56],"yield":[58],"a":[59,90,113,132],"unified":[61],"similarity.":[62],"Moreover,":[63],"similarity":[65,71,115,150],"generation":[66],"may":[67],"lead":[68],"anomalous":[70],"values":[72],"column":[74],"sum":[75],"constraints,":[76],"affecting":[77],"final":[79],"results.":[81],"To":[82],"solve":[83],"above":[85],"challenging":[86],"issues,":[87],"we":[88,102],"propose":[89],"Sample-level":[91],"Cross-view":[92],"Similarity":[93],"Learning":[94],"(SCSL)":[95],"method":[96],"for":[97],"Multi-view":[99],"Clustering.":[100],"Specifically,":[101],"project":[103],"all":[104],"samples":[105],"same":[108],"dimension":[109],"and":[110,125],"simultaneously":[111,133],"construct":[112],"matrix":[116,151],"across":[117],"views":[118],"based":[119],"inter-view":[122],"sample":[123,128],"intra-view":[127],"relationship.":[129],"In":[130],"addition,":[131],"learning":[134],"consensus":[135],"representation":[136],"ensures":[137],"validity":[139],"projection,":[142],"which":[143],"further":[144],"enhances":[145],"quality":[147],"through":[152],"graph":[154],"Laplacian":[155],"regularization.":[156],"Experimental":[157],"results":[158],"six":[160],"benchmark":[161],"datasets":[162],"demonstrate":[163],"SCSL":[167],"in":[168],"processing":[169],"tasks.":[173],"Our":[174],"code":[175],"is":[176],"publicly":[177],"available":[178],"at":[179],"https://github.com/Tracesource/SCSL.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":9}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
