{"id":"https://openalex.org/W2050997020","doi":"https://doi.org/10.1145/2806416.2806526","title":"Incomplete Multi-view Clustering via Subspace Learning","display_name":"Incomplete Multi-view Clustering via Subspace Learning","publication_year":2015,"publication_date":"2015-10-17","ids":{"openalex":"https://openalex.org/W2050997020","doi":"https://doi.org/10.1145/2806416.2806526","mag":"2050997020"},"language":"en","primary_location":{"id":"doi:10.1145/2806416.2806526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","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/A5083652259","display_name":"Qiyue Yin","orcid":"https://orcid.org/0000-0002-3442-6275"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiyue Yin","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047523245","display_name":"Shu Wu","orcid":"https://orcid.org/0000-0003-2164-3577"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Wu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602506","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5224-8647"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083652259"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":2.6163,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.93252121,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"383","last_page":"392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9976999759674072,"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":0.9976999759674072,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9901999831199646,"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":0.8289906978607178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7180593013763428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5392196774482727},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5286149382591248},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.5001394748687744},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.49404266476631165},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4912967085838318},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4911968410015106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45861437916755676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44622933864593506},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4147856533527374},{"id":"https://openalex.org/keywords/biclustering","display_name":"Biclustering","score":0.4128764271736145},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.38792648911476135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34372198581695557},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18498799204826355}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8289906978607178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7180593013763428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5392196774482727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5286149382591248},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.5001394748687744},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.49404266476631165},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4912967085838318},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4911968410015106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45861437916755676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44622933864593506},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4147856533527374},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.4128764271736145},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.38792648911476135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34372198581695557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18498799204826355},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2806416.2806526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G6232584885","display_name":null,"funder_award_id":"2012CB316300","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G7164293301","display_name":null,"funder_award_id":"61175003, 61420106015, U1435221, 61403390","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/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W87822204","https://openalex.org/W154472438","https://openalex.org/W201974436","https://openalex.org/W1550614472","https://openalex.org/W1670132599","https://openalex.org/W1907775068","https://openalex.org/W1964305049","https://openalex.org/W1969650088","https://openalex.org/W1991311318","https://openalex.org/W1992905164","https://openalex.org/W2032642422","https://openalex.org/W2043819533","https://openalex.org/W2048679005","https://openalex.org/W2059861509","https://openalex.org/W2085789144","https://openalex.org/W2101324110","https://openalex.org/W2105709960","https://openalex.org/W2108502868","https://openalex.org/W2121947440","https://openalex.org/W2122315118","https://openalex.org/W2126337883","https://openalex.org/W2131144984","https://openalex.org/W2142674578","https://openalex.org/W2154415691","https://openalex.org/W2162388373","https://openalex.org/W2164587673","https://openalex.org/W2168103112","https://openalex.org/W2171837816","https://openalex.org/W2181159407","https://openalex.org/W2184188583","https://openalex.org/W2399260173","https://openalex.org/W2405459681","https://openalex.org/W2407812036","https://openalex.org/W2525579820","https://openalex.org/W2604272474","https://openalex.org/W2963111938","https://openalex.org/W6671732342","https://openalex.org/W6682991666","https://openalex.org/W6686207219"],"related_works":["https://openalex.org/W2611629964","https://openalex.org/W4237106426","https://openalex.org/W2564198485","https://openalex.org/W3035964814","https://openalex.org/W1577058187","https://openalex.org/W3186815950","https://openalex.org/W3124860551","https://openalex.org/W2040929534","https://openalex.org/W2311450085","https://openalex.org/W2309230723"],"abstract_inverted_index":{"Multi-view":[0],"clustering,":[1,13],"which":[2,55,77],"explores":[3],"complementary":[4],"information":[5,24],"between":[6],"multiple":[7],"distinct":[8],"feature":[9,37,53],"sets":[10],"for":[11,85],"better":[12,181],"has":[14],"a":[15,68],"wide":[16],"range":[17],"of":[18],"applications,":[19,42],"e.g.,":[20],"knowledge":[21],"management":[22],"and":[23,61,82,112,123,148,171],"retrieval.":[25],"Traditional":[26],"multi-view":[27,59,71,88,185],"clustering":[28,72,158,186],"methods":[29,187],"usually":[30],"assume":[31],"that":[32,48,177],"all":[33],"examples":[34,50],"have":[35],"complete":[36],"sets.":[38],"However,":[39],"in":[40,57,188],"real":[41],"it":[43],"is":[44,74,152,165],"often":[45,119],"the":[46,86,92,104,126,142,146,157,183],"case":[47],"some":[49,52],"lose":[51],"sets,":[54],"results":[56],"incomplete":[58,70,87],"data":[60,117,150],"notable":[62],"performance":[63],"degeneration.":[64],"In":[65],"this":[66],"paper,":[67],"novel":[69],"method":[73],"therefore":[75],"developed,":[76],"learns":[78],"unified":[79],"latent":[80,105,143],"representations":[81,106],"projection":[83,127],"matrices":[84,128],"data.":[89],"To":[90,160],"approximate":[91],"high":[93,121],"level":[94],"scaled":[95],"indicator":[96],"matrix":[97],"defined":[98],"to":[99,109,131,136,154],"represent":[100],"class":[101],"label":[102],"matrix,":[103],"are":[107,118,129],"expected":[108],"be":[110,132],"non-negative":[111],"column":[113],"orthogonal.":[114],"Besides,":[115],"since":[116],"with":[120,167],"dimensional":[122],"noisy":[124],"features,":[125],"enforced":[130],"sparse":[133],"so":[134],"as":[135],"select":[137],"relevant":[138],"features":[139],"when":[140],"learning":[141],"space.":[144],"Furthermore,":[145],"inter-view":[147],"intra-view":[149],"structure":[151],"preserved":[153],"further":[155],"enhance":[156],"performance.":[159],"these":[161],"ends,":[162],"an":[163],"objective":[164],"developed":[166],"efficient":[168],"optimization":[169],"strategy":[170],"convergence":[172],"analysis.":[173],"Extensive":[174],"experiments":[175],"demonstrate":[176],"our":[178],"model":[179],"performs":[180],"than":[182],"state-of-the-art":[184],"various":[189],"settings.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}