{"id":"https://openalex.org/W4399310986","doi":"https://doi.org/10.1109/lsp.2024.3408606","title":"Separable Consistency and Diversity Feature Learning for Multi-View Clustering","display_name":"Separable Consistency and Diversity Feature Learning for Multi-View Clustering","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399310986","doi":"https://doi.org/10.1109/lsp.2024.3408606"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3408606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3408606","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5055986047","display_name":"Fenghua Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fenghua Zhang","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0009-3977-4381","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057428910","display_name":"Hangjun Che","orcid":"https://orcid.org/0000-0002-8930-0039"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangjun Che","raw_affiliation_strings":["College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-8930-0039","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055986047"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":2.3179,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8956934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"1595","last_page":"1599"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9800000190734863,"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":0.9800000190734863,"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":0.935699999332428,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9221000075340271,"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":0.6976851224899292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6430799961090088},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.6003531217575073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5949452519416809},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5329728126525879},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5078590512275696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.503821074962616},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.4282875657081604},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32070475816726685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.309689998626709}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6976851224899292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6430799961090088},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.6003531217575073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5949452519416809},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5329728126525879},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5078590512275696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.503821074962616},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.4282875657081604},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32070475816726685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.309689998626709},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3408606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3408606","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W2100235303","https://openalex.org/W2154478709","https://openalex.org/W2155904486","https://openalex.org/W2187089797","https://openalex.org/W2587115404","https://openalex.org/W2750384547","https://openalex.org/W2797653144","https://openalex.org/W2887425327","https://openalex.org/W2922181571","https://openalex.org/W2953009528","https://openalex.org/W2966840649","https://openalex.org/W3003590623","https://openalex.org/W3035663159","https://openalex.org/W3080113507","https://openalex.org/W3151867486","https://openalex.org/W3162187167","https://openalex.org/W3173513735","https://openalex.org/W3173972271","https://openalex.org/W4206635403","https://openalex.org/W4289341676","https://openalex.org/W4293370647","https://openalex.org/W4312973985","https://openalex.org/W4315926876","https://openalex.org/W4320480761","https://openalex.org/W4353093926","https://openalex.org/W4360753265","https://openalex.org/W4385489679","https://openalex.org/W4386071520","https://openalex.org/W4387681935","https://openalex.org/W4388948373","https://openalex.org/W4389987942","https://openalex.org/W4390685528","https://openalex.org/W4392694056","https://openalex.org/W6631216910","https://openalex.org/W6639103823","https://openalex.org/W6743688258","https://openalex.org/W6762833281","https://openalex.org/W6769882874"],"related_works":["https://openalex.org/W2009525028","https://openalex.org/W4321064619","https://openalex.org/W2076561698","https://openalex.org/W2053599029","https://openalex.org/W2962925412","https://openalex.org/W2023672523","https://openalex.org/W4246719751","https://openalex.org/W4298130764","https://openalex.org/W2483165346","https://openalex.org/W3011179836"],"abstract_inverted_index":{"Multi-view":[0],"clustering":[1,21,59],"has":[2],"garnered":[3],"growing":[4],"attention":[5],"due":[6],"to":[7,10,19,38,69,117],"its":[8],"ability":[9],"learn":[11],"consistent":[12],"representation":[13],"across":[14],"different":[15],"views":[16],"in":[17],"order":[18],"enhance":[20],"performance.":[22],"The":[23,74,96],"majority":[24],"of":[25,34],"current":[26],"research":[27],"concentrates":[28],"on":[29],"aligning":[30],"the":[31,35,43,49,71],"feature":[32,79,100],"distribution":[33],"potential":[36,78],"space":[37],"capture":[39],"view-common":[40],"information,":[41],"disregarding":[42],"conflict":[44],"between":[45],"consistency":[46,85,97],"alignment":[47],"and":[48,64,86,89,98],"reconstruction":[50],"objective.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"a":[57],"multi-view":[58],"method":[60,76,112],"via":[61],"Separable":[62],"Consistency":[63],"Diversity":[65],"Feature":[66],"Learning":[67],"(SCDFL)":[68],"address":[70],"aforementioned":[72],"issue.":[73],"proposed":[75],"decouples":[77],"into":[80],"two":[81],"components":[82],"for":[83,93,103],"learning":[84],"diversity,":[87],"respectively,":[88],"integrates":[90],"these":[91],"features":[92],"data":[94],"reconstruction.":[95],"diversity":[99],"are":[101],"concatenated":[102],"spectral":[104],"clustering.":[105],"Extensive":[106],"experiments":[107],"have":[108],"demonstrated":[109],"that":[110],"our":[111],"achieves":[113],"superior":[114],"performance":[115],"compared":[116],"several":[118],"state-of-the-art":[119],"methods.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
