{"id":"https://openalex.org/W4317000382","doi":"https://doi.org/10.1145/3573834.3574497","title":"Multi-view clustering study based on subspace","display_name":"Multi-view clustering study based on subspace","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4317000382","doi":"https://doi.org/10.1145/3573834.3574497"},"language":"en","primary_location":{"id":"doi:10.1145/3573834.3574497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573834.3574497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Advanced Information Science and System","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/A5021062921","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0002-3676-768X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0002-3676-768X","affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084379499","display_name":"Dong Sun","orcid":"https://orcid.org/0000-0002-1384-9228"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Sun","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0002-1384-9228","affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028036802","display_name":"Zhu Yuan","orcid":"https://orcid.org/0000-0003-4190-8536"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Yuan","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0003-4190-8536","affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qingwei Gao","orcid":"https://orcid.org/0000-0002-6424-6988"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwei Gao","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0002-6424-6988","affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625439","display_name":"Yixiang Lu","orcid":"https://orcid.org/0000-0002-8084-8380"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiang Lu","raw_affiliation_strings":["Anhui University, China"],"raw_orcid":"https://orcid.org/0000-0002-8084-8380","affiliations":[{"raw_affiliation_string":"Anhui University, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16566258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9882000088691711,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9882000088691711,"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":0.9836000204086304,"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":0.9824000000953674,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8487179279327393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6870635151863098},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5277791023254395},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4763926863670349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4680936634540558},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4571826457977295},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4564611315727234},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.41891953349113464},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.41035908460617065},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.3810501992702484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3324100971221924},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21985557675361633}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8487179279327393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6870635151863098},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5277791023254395},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4763926863670349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4680936634540558},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4571826457977295},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4564611315727234},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.41891953349113464},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.41035908460617065},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3810501992702484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3324100971221924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21985557675361633},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573834.3574497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573834.3574497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Advanced Information Science and System","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1907775068","https://openalex.org/W2076086957","https://openalex.org/W2197707282","https://openalex.org/W2741998188","https://openalex.org/W2785810986","https://openalex.org/W2803104255","https://openalex.org/W2962778451","https://openalex.org/W2998358581","https://openalex.org/W3010318487","https://openalex.org/W3195278637","https://openalex.org/W3203847709","https://openalex.org/W3204096038","https://openalex.org/W4220724033"],"related_works":["https://openalex.org/W2111119584","https://openalex.org/W2606552659","https://openalex.org/W4301002638","https://openalex.org/W3186815950","https://openalex.org/W2406185607","https://openalex.org/W2163563073","https://openalex.org/W2311450085","https://openalex.org/W3035964814","https://openalex.org/W3124860551","https://openalex.org/W2309230723"],"abstract_inverted_index":{"With":[0],"the":[1,38,45,57,78,86,98,103],"widespread":[2],"existence":[3],"of":[4,15,41,48,59,89],"multi-view":[5,8,16,30,49,66,79,90],"data,":[6,42],"many":[7],"clustering":[9,17,31,68,119],"methods":[10,32],"have":[11],"emerged.":[12],"The":[13],"purpose":[14],"is":[18,92],"to":[19,77],"classify":[20],"data":[21,50,91,99],"into":[22],"multiple":[23],"clusters":[24],"based":[25,82],"on":[26,83,110,121],"different":[27,60,122],"views.":[28],"Existing":[29],"usually":[33],"do":[34],"not":[35],"sufficiently":[36],"mine":[37],"complementary":[39],"information":[40,47,88],"which":[43],"makes":[44],"effective":[46],"cannot":[51],"be":[52],"fully":[53],"utilized.":[54],"By":[55],"considering":[56],"diversity":[58,96],"views,":[61],"we":[62,71],"propose":[63],"a":[64],"new":[65],"subspace":[67],"method.":[69],"Specifically,":[70],"first":[72],"extend":[73],"single-view":[74],"self-expression":[75],"learning":[76],"domain.":[80],"Then,":[81],"manifold":[84],"learning,":[85],"public":[87],"obtained.":[93],"In":[94],"addition,":[95],"among":[97],"was":[100],"measured":[101],"using":[102],"Hilbert-Schmidt":[104],"Independence":[105],"Criteria":[106],"(HSIC).":[107],"Experimental":[108],"results":[109],"four":[111],"datasets":[112],"show":[113],"that":[114],"our":[115],"model":[116],"has":[117],"good":[118],"performance":[120],"evaluation":[123],"indicators.":[124]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
