{"id":"https://openalex.org/W4400112754","doi":"https://doi.org/10.1145/3674839","title":"Subspace-Contrastive Multi-View Clustering","display_name":"Subspace-Contrastive Multi-View Clustering","publication_year":2024,"publication_date":"2024-06-28","ids":{"openalex":"https://openalex.org/W4400112754","doi":"https://doi.org/10.1145/3674839"},"language":"en","primary_location":{"id":"doi:10.1145/3674839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674839","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5063796185","display_name":"Lele Fu","orcid":"https://orcid.org/0000-0001-5304-0434"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lele Fu","raw_affiliation_strings":["School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091838837","display_name":"Sheng Huang","orcid":"https://orcid.org/0000-0001-9813-0572"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Huang","raw_affiliation_strings":["School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046010508","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-7381-0619"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070678631","display_name":"Jing\u2010Hua Yang","orcid":"https://orcid.org/0000-0001-8207-094X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghua Yang","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000582109","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0002-7878-4330"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014061069","display_name":"Chuanfu Zhang","orcid":"https://orcid.org/0009-0007-1525-5830"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanfu Zhang","raw_affiliation_strings":["School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429133","display_name":"Chuan Chen","orcid":"https://orcid.org/0000-0002-7048-3445"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5063796185"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":2.2436,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8908337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"9","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9993000030517578,"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":0.9947999715805054,"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":0.6382818818092346},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5908833742141724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5460590720176697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5142216682434082},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44780245423316956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37857821583747864},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32985198497772217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3265039920806885}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6382818818092346},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5908833742141724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5460590720176697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5142216682434082},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44780245423316956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37857821583747864},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32985198497772217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3265039920806885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674839","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674839","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1201885732","display_name":null,"funder_award_id":"2682024CX017","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1975654480","display_name":null,"funder_award_id":"2024NSFSC1467","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G8239621031","display_name":null,"funder_award_id":"62176269","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/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1993962865","https://openalex.org/W2076063813","https://openalex.org/W2136040699","https://openalex.org/W2145094598","https://openalex.org/W2565516711","https://openalex.org/W2590019597","https://openalex.org/W2801999749","https://openalex.org/W2896169497","https://openalex.org/W2943996654","https://openalex.org/W2972477132","https://openalex.org/W2997574889","https://openalex.org/W3010905193","https://openalex.org/W3036015371","https://openalex.org/W3089039599","https://openalex.org/W3117265891","https://openalex.org/W3148981562","https://openalex.org/W3149863265","https://openalex.org/W3162187167","https://openalex.org/W3165231040","https://openalex.org/W3176694003","https://openalex.org/W4210482833","https://openalex.org/W4212834658","https://openalex.org/W4214876032","https://openalex.org/W4220873374","https://openalex.org/W4221161651","https://openalex.org/W4225473713","https://openalex.org/W4225877894","https://openalex.org/W4226022916","https://openalex.org/W4226366204","https://openalex.org/W4234552385","https://openalex.org/W4248927948","https://openalex.org/W4283827931","https://openalex.org/W4285117216","https://openalex.org/W4293187572","https://openalex.org/W4300633389","https://openalex.org/W4301409532","https://openalex.org/W4308372104","https://openalex.org/W4310595044","https://openalex.org/W4311404827","https://openalex.org/W4312238451","https://openalex.org/W4318348989","https://openalex.org/W4321780073","https://openalex.org/W4365790378","https://openalex.org/W4367834002","https://openalex.org/W4382203265","https://openalex.org/W4383751870","https://openalex.org/W4383981973","https://openalex.org/W4387842032","https://openalex.org/W4393072862","https://openalex.org/W6750880408","https://openalex.org/W6779716773"],"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/W2130386332","https://openalex.org/W1120847856"],"abstract_inverted_index":{"Most":[0],"multi-view":[1,52,162,208],"clustering":[2,209],"methods":[3],"based":[4],"on":[5,192,216],"shallow":[6,205],"models":[7],"are":[8,86],"limited":[9],"in":[10,24],"sound":[11],"nonlinear":[12,59],"information":[13,22],"perception":[14],"capability,":[15],"or":[16],"fail":[17],"to":[18,48,92,100,118,135,151],"effectively":[19],"exploit":[20],"complementary":[21],"hidden":[23],"different":[25,69],"views.":[26],"To":[27,176],"tackle":[28],"these":[29],"issues,":[30],"we":[31,71,113,164,184],"propose":[32],"a":[33,43,77,166,186],"novel":[34],"Subspace-Contrastive":[35],"Multi-View":[36],"Clustering":[37],"(SCMC)":[38],"approach.":[39],"Specifically,":[40],"SCMC":[41,155,202],"utilizes":[42],"set":[44],"of":[45,66,109,159,180,189,221],"view-specific":[46],"auto-encoders":[47],"map":[49],"the":[50,62,82,89,94,102,107,115,120,130,137,146,153,157,161,174,178,181,197,213,219,222],"original":[51],"data":[53,67],"into":[54,76],"compact":[55,84],"features":[56,75,85],"capturing":[57],"its":[58],"structures.":[60],"Considering":[61],"large":[63,187],"semantic":[64,79],"gap":[65],"from":[68],"modalities,":[70],"project":[72],"multiple":[73],"heterogeneous":[74],"joint":[78],"space,":[80],"namely":[81],"embedded":[83],"passed":[87],"through":[88],"self-expression":[90],"layers":[91],"learn":[93],"subspace":[95,111],"representations,":[96,112],"respectively.":[97],"In":[98,211],"order":[99],"enhance":[101],"discriminability":[103],"and":[104,196,206],"efficiently":[105],"excavate":[106],"complementarity":[108],"various":[110],"use":[114],"contrastive":[116],"strategy":[117],"maximize":[119],"similarity":[121],"between":[122],"positive":[123],"pairs":[124],"while":[125],"differentiate":[126],"negative":[127],"pairs.":[128],"Thus,":[129],"graph":[131],"regularization":[132],"is":[133],"employed":[134],"encode":[136],"local":[138],"geometric":[139],"structure":[140],"within":[141],"varying":[142],"subspaces":[143],"for":[144],"optimizing":[145],"consistent":[147,167],"affinity":[148],"matrix.":[149],"Furthermore,":[150],"endow":[152],"proposed":[154,182,223],"with":[156],"ability":[158],"handling":[160],"out-of-samples,":[163],"develop":[165],"sparse":[168],"representation":[169],"(CSR)":[170],"learning":[171],"mechanism":[172],"over":[173],"in-samples.":[175],"demonstrate":[177],"effectiveness":[179,220],"model,":[183],"conduct":[185],"number":[188],"comparative":[190],"experiments":[191],"ten":[193],"challenging":[194],"datasets,":[195],"experimental":[198,214],"results":[199,215],"show":[200],"that":[201],"outperforms":[203],"existing":[204],"deep":[207],"methods.":[210],"addition,":[212],"out-of-samples":[217],"illustrate":[218],"CSR.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
