{"id":"https://openalex.org/W4392903090","doi":"https://doi.org/10.1109/icassp48485.2024.10446918","title":"Large-Scale Multi-View Multiple Clustering","display_name":"Large-Scale Multi-View Multiple Clustering","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903090","doi":"https://doi.org/10.1109/icassp48485.2024.10446918"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101363220","display_name":"Xiaolong Xiong","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":"Xiaolong Xiong","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China","College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005622032","display_name":"Jinhan Cui","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":false,"raw_author_name":"Jinhan Cui","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China","College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039708653","display_name":"Rui Xie","orcid":"https://orcid.org/0000-0003-1171-7536"},"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":"Rui Xie","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China","College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102631460","display_name":"Shuzhan Guo","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":false,"raw_author_name":"Shuzhan Guo","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China","College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063215334","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0003-4353-1621"},"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":"Jun Zhou","raw_affiliation_strings":["Southwest University,College of Computer and Information Science,Chongqing,China","College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101363220"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.4846,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.600393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6205","last_page":"6209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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":0.9968000054359436,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9922999739646912,"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":0.8184388279914856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7447196245193481},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5823789834976196},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5537923574447632},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5267374515533447},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4814990758895874},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4704678952693939},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4531077742576599},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4129714369773865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41184157133102417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33515915274620056},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2532195746898651},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16542306542396545},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.09082263708114624}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8184388279914856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447196245193481},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5823789834976196},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5537923574447632},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5267374515533447},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4814990758895874},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4704678952693939},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4531077742576599},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4129714369773865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41184157133102417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33515915274620056},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2532195746898651},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16542306542396545},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.09082263708114624},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3196577821","display_name":null,"funder_award_id":"22274134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1851838785","https://openalex.org/W1993962865","https://openalex.org/W2051549110","https://openalex.org/W2114508388","https://openalex.org/W2566414761","https://openalex.org/W2741236095","https://openalex.org/W2780925023","https://openalex.org/W2788790210","https://openalex.org/W2904403442","https://openalex.org/W2917532348","https://openalex.org/W2965622195","https://openalex.org/W2998570830","https://openalex.org/W3103583060","https://openalex.org/W3148388528","https://openalex.org/W4220671231","https://openalex.org/W4292263874","https://openalex.org/W4311955051","https://openalex.org/W4312238451","https://openalex.org/W4313410482","https://openalex.org/W4353093926","https://openalex.org/W4367016851","https://openalex.org/W4372260553","https://openalex.org/W4386076172","https://openalex.org/W4387171339","https://openalex.org/W6747560774"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2378211422","https://openalex.org/W2949110394","https://openalex.org/W2896134808","https://openalex.org/W227974271","https://openalex.org/W2977728051","https://openalex.org/W2968737478","https://openalex.org/W2185081213","https://openalex.org/W88288160","https://openalex.org/W2761926807"],"abstract_inverted_index":{"Multi-view":[0],"multiple":[1,4,82],"clustering":[2,5,35,69],"generates":[3],"results":[6,122],"to":[7,30,93,117],"uncover":[8],"diverse":[9,34],"information":[10,99],"in":[11,60,106],"multi-view":[12,140],"data,":[13,25],"but":[14],"existing":[15],"solutions":[16],"for":[17],"this":[18],"task":[19],"are":[20],"inefficient":[21],"when":[22],"processing":[23,142],"large-scale":[24,139],"and":[26,33,134],"it":[27],"is":[28,130],"difficult":[29],"achieve":[31],"high-quality":[32,104],"simultaneously.":[36],"Therefore,":[37],"we":[38,52],"propose":[39],"the":[40,61,65,78,101],"Large-Scale":[41],"Multi-View":[42],"Multiple":[43],"Clustering":[44],"(LSMVMC)":[45],"algorithm.":[46],"Inspired":[47],"by":[48,113],"anchor":[49,79],"graph":[50,80],"techniques,":[51],"construct":[53],"a":[54,85],"relationship":[55],"matrix":[56,75],"using":[57],"representative":[58],"anchors":[59],"neighborhood":[62],"structure":[63],"of":[64,97,103],"original":[66],"samples,":[67],"improving":[68],"speed":[70],"without":[71],"compromising":[72],"quality.":[73],"Deep":[74],"factorization":[76],"decomposes":[77],"into":[81],"subspaces":[83,116],"through":[84],"multi-layer":[86],"decomposition":[87],"matrix.":[88],"By":[89],"assigning":[90],"different":[91],"weights":[92],"views,":[94],"comprehensive":[95],"consideration":[96],"view-specific":[98],"enables":[100],"generation":[102],"clusters":[105],"each":[107],"subspace.":[108],"We":[109],"enhance":[110],"cluster":[111],"diversity":[112],"employing":[114],"orthogonal":[115],"comprehensively":[118],"consider":[119],"redundancy.":[120],"Experimental":[121],"on":[123],"benchmark":[124],"datasets":[125],"demonstrate":[126],"that":[127],"our":[128],"solution":[129],"generally":[131],"more":[132],"efficient":[133],"performs":[135],"better":[136],"than":[137],"other":[138],"data":[141],"methods.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}