{"id":"https://openalex.org/W4387846378","doi":"https://doi.org/10.1145/3583780.3614986","title":"Mutual Information-Driven Multi-View Clustering","display_name":"Mutual Information-Driven Multi-View Clustering","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846378","doi":"https://doi.org/10.1145/3583780.3614986"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3614986","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/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":["Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7381-0619","affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","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":false,"raw_author_name":"Lele Fu","raw_affiliation_strings":["Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5304-0434","affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101577960","display_name":"Tong Wang","orcid":"https://orcid.org/0000-0002-2244-197X"},"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":"Tong Wang","raw_affiliation_strings":["Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2244-197X","affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","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":["Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7048-3445","affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","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":["Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-1525-5830","affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3268","last_page":"3277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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":0.9977999925613403,"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":0.9976000189781189,"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":0.8749003410339355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7269651889801025},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5790377855300903},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.5236194729804993},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5028502345085144},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5014784336090088},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.44922298192977905},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4475225508213043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4404065012931824}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8749003410339355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7269651889801025},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5790377855300903},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.5236194729804993},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5028502345085144},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5014784336090088},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.44922298192977905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4475225508213043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4404065012931824},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3614986","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1331153563","display_name":null,"funder_award_id":"62176269, U1911202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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"},{"id":"https://openalex.org/G8999895875","display_name":null,"funder_award_id":"U1911202","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/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1493340768","https://openalex.org/W2142674578","https://openalex.org/W2147141800","https://openalex.org/W2565835729","https://openalex.org/W2590019597","https://openalex.org/W2740464254","https://openalex.org/W2787885212","https://openalex.org/W2921065608","https://openalex.org/W2944150796","https://openalex.org/W2963764569","https://openalex.org/W2972477132","https://openalex.org/W2997951773","https://openalex.org/W3005916310","https://openalex.org/W3010905193","https://openalex.org/W3024343454","https://openalex.org/W3089039599","https://openalex.org/W3093556205","https://openalex.org/W3160988939","https://openalex.org/W3165231040","https://openalex.org/W3170830870","https://openalex.org/W3173532622","https://openalex.org/W3174433205","https://openalex.org/W3175530672","https://openalex.org/W3204096038","https://openalex.org/W3208823574","https://openalex.org/W4281660838","https://openalex.org/W4283792797","https://openalex.org/W4283827931","https://openalex.org/W4285117216","https://openalex.org/W4290713716","https://openalex.org/W4293353798","https://openalex.org/W4306317472","https://openalex.org/W4307392394","https://openalex.org/W4308372104","https://openalex.org/W4312973985","https://openalex.org/W4321113904","https://openalex.org/W4321608130","https://openalex.org/W4321780073","https://openalex.org/W4353093926","https://openalex.org/W4362496196","https://openalex.org/W4365483249"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"In":[0,27],"deep":[1,33],"multi-view":[2,34,68],"clustering,":[3],"three":[4,48,77,87],"intractable":[5],"problems":[6],"are":[7,82],"posed":[8],"ahead":[9],"of":[10,39],"researchers,":[11],"namely,":[12],"the":[13,17,22,32,37,47,61,92,95,103,110,113,123,133,136,155,160],"complementarity":[14],"exploration":[15],"problem,":[16,20],"information":[18,41,65],"preservation":[19],"and":[21,43,63,70,98,117,140,154],"cluster":[23,141],"structure":[24,142],"discovery":[25],"problem.":[26],"this":[28],"paper,":[29],"we":[30,90,108,146],"consider":[31],"clustering":[35,165],"from":[36],"perspective":[38],"mutual":[40],"(MI),":[42],"attempt":[44],"to":[45,86,101,121,127],"address":[46],"important":[49],"concerns":[50],"with":[51],"a":[52,72,129],"Mutual":[53],"Information-Driven":[54],"Multi-View":[55],"Clustering":[56],"(MIMC)":[57],"method,":[58],"which":[59],"extracts":[60],"common":[62,96],"view-specific":[64,99],"hidden":[66],"in":[67,84],"data":[69,115,119],"constructs":[71],"clustering-oriented":[73],"comprehensive":[74,131,137],"representation.":[75],"Specifically,":[76],"constraints":[78],"based":[79],"on":[80,150],"MI":[81,93,111,134],"devised":[83],"response":[85],"issues.":[88],"Correspondingly,":[89],"minimize":[91],"between":[94,112,135],"representation":[97],"representations":[100,116,120],"exploit":[102],"inter-view":[104],"complementary":[105],"information.":[106,125],"Further,":[107],"maximize":[109],"refined":[114],"original":[118],"preserve":[122],"principal":[124],"Moreover,":[126],"learn":[128],"clustering-friendly":[130],"representation,":[132],"embedding":[138],"space":[139],"is":[143],"maximized.":[144],"Finally,":[145],"conduct":[147],"extensive":[148],"experiments":[149],"six":[151],"benchmark":[152],"datasets,":[153],"experimental":[156],"results":[157],"indicate":[158],"that":[159],"proposed":[161],"MIMC":[162],"outperforms":[163],"other":[164],"methods.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}