{"id":"https://openalex.org/W3018027613","doi":"https://doi.org/10.1109/tfuzz.2020.2988841","title":"Low-Rank Tensor Regularized Fuzzy Clustering for Multiview Data","display_name":"Low-Rank Tensor Regularized Fuzzy Clustering for Multiview Data","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3018027613","doi":"https://doi.org/10.1109/tfuzz.2020.2988841","mag":"3018027613"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2020.2988841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2020.2988841","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Transactions on Fuzzy Systems","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/A5002038722","display_name":"Huiqin Wei","orcid":"https://orcid.org/0000-0003-4184-3701"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Huiqin Wei","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336427","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-0184-5446"},"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"]},{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071889901","display_name":"Keyu Ruan","orcid":"https://orcid.org/0000-0001-7456-2709"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keyu Ruan","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Transportation Active Safety Institute, Indiana University\u2014Purdue University Indianapolis, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Transportation Active Safety Institute, Indiana University\u2014Purdue University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101586017","display_name":"Lingxi Li","orcid":"https://orcid.org/0000-0002-5192-492X"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingxi Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Transportation Active Safety Institute, Indiana University\u2014Purdue University Indianapolis, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Transportation Active Safety Institute, Indiana University\u2014Purdue University Indianapolis, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I55769427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100336450","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-4925-0572"},"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"]},{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002038722"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":1.9614,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.86567164,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"12","first_page":"3087","last_page":"3099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9793999791145325,"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":0.7121129035949707},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6170737147331238},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.590722918510437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4453815817832947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43382781744003296},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.43313083052635193},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4206739664077759},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3925292193889618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35538244247436523}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7121129035949707},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6170737147331238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.590722918510437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4453815817832947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43382781744003296},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.43313083052635193},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4206739664077759},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3925292193889618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35538244247436523}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2020.2988841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2020.2988841","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G2077791387","display_name":null,"funder_award_id":"196/2017/A3","funder_id":"https://openalex.org/F4320326962","funder_display_name":"Macau University of Science and Technology Foundation"},{"id":"https://openalex.org/G5828057494","display_name":null,"funder_award_id":"MYRG2018-00132-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G6240602159","display_name":null,"funder_award_id":"61673405","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/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"},{"id":"https://openalex.org/F4320326962","display_name":"Macau University of Science and Technology Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W201974436","https://openalex.org/W1966096622","https://openalex.org/W1968247965","https://openalex.org/W1995450389","https://openalex.org/W1997201895","https://openalex.org/W2013912476","https://openalex.org/W2024165284","https://openalex.org/W2032084149","https://openalex.org/W2058063871","https://openalex.org/W2058532290","https://openalex.org/W2085265340","https://openalex.org/W2101324110","https://openalex.org/W2108154570","https://openalex.org/W2108502868","https://openalex.org/W2132914434","https://openalex.org/W2141429283","https://openalex.org/W2142674578","https://openalex.org/W2159091719","https://openalex.org/W2161160262","https://openalex.org/W2169529055","https://openalex.org/W2171855237","https://openalex.org/W2176433868","https://openalex.org/W2197707282","https://openalex.org/W2405459681","https://openalex.org/W2514638911","https://openalex.org/W2519420704","https://openalex.org/W2551492216","https://openalex.org/W2565835729","https://openalex.org/W2604660378","https://openalex.org/W2749338522","https://openalex.org/W2752197020","https://openalex.org/W2797461089","https://openalex.org/W2799747333","https://openalex.org/W2894142921","https://openalex.org/W2896169497","https://openalex.org/W2898199757","https://openalex.org/W2898233200","https://openalex.org/W2901698913","https://openalex.org/W2911255214","https://openalex.org/W2922101780","https://openalex.org/W2945288617","https://openalex.org/W2963433607","https://openalex.org/W2964070360","https://openalex.org/W2964155226","https://openalex.org/W6608209381","https://openalex.org/W6675134712","https://openalex.org/W6685357932","https://openalex.org/W6758216175"],"related_works":["https://openalex.org/W1999117613","https://openalex.org/W2040929534","https://openalex.org/W3022637481","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2945382830","https://openalex.org/W4312412183","https://openalex.org/W4292434959","https://openalex.org/W2535986621","https://openalex.org/W4388110928"],"abstract_inverted_index":{"Since":[0],"data":[1,21,65,81,94,218],"are":[2,89,205],"collected":[3],"from":[4,47],"a":[5,53,72,99,138,142,148],"range":[6],"of":[7,79,124,134,162,167,201],"sources":[8],"via":[9],"different":[10,48,77,135,163],"techniques,":[11],"multiview":[12,27,64,212],"clustering":[13,28,55,66,75,156,213],"has":[14],"become":[15],"an":[16,176],"emerging":[17],"technique":[18],"for":[19],"unsupervised":[20],"classification.":[22],"However,":[23],"most":[24],"existing":[25],"soft":[26,86],"methods":[29],"only":[30],"consider":[31],"the":[32,58,63,80,84,92,115,122,125,152,168,188,202,208],"pairwise":[33],"correlations":[34,38,161],"and":[35,173,199],"ignore":[36],"high-order":[37,160],"among":[39],"multiple":[40],"views.":[41,164],"To":[42],"integrate":[43],"more":[44],"comprehensive":[45],"information":[46],"views,":[49],"this":[50,185],"article":[51],"innovates":[52],"fuzzy":[54,74,103,131,155],"model":[56,104,170],"using":[57,194],"low-rank":[59,106,143],"tensor":[60,107,144,195],"to":[61,95,157,183],"address":[62],"problem.":[67,186],"Our":[68],"method":[69,182],"first":[70],"conducts":[71],"standard":[73],"on":[76,215],"views":[78,136],"separately.":[82],"Then,":[83],"obtained":[85],"partition":[87,132],"results":[88],"aggregated":[90],"as":[91,137,147],"new":[93],"be":[96],"handled":[97],"by":[98,193,207],"Kullback-Leibler":[100],"(KL)":[101],"divergence-based":[102,154],"with":[105,210],"constraints.":[108],"The":[109,165,197],"KL":[110,153],"divergence":[111],"function,":[112],"which":[113],"replaces":[114],"traditional":[116],"minimized":[117],"Euclidean":[118],"distance,":[119],"can":[120],"enhance":[121],"robustness":[123],"model.":[126],"More":[127],"importantly,":[128],"we":[129,174],"formulate":[130],"matrices":[133],"third-order":[139],"tensor.":[140],"So,":[141],"is":[145,171,191],"introduced":[146],"norm":[149],"constraint":[150],"in":[151],"obtain":[158],"dexterously":[159],"minimization":[166],"final":[169],"convex":[172],"present":[175],"efficient":[177],"augmented":[178],"Lagrangian":[179],"alternating":[180],"direction":[181],"handle":[184],"Specially,":[187],"global":[189],"membership":[190],"derived":[192],"factorization.":[196],"efficiency":[198],"superiority":[200],"proposed":[203],"approach":[204],"demonstrated":[206],"comparison":[209],"state-of-the-art":[211],"algorithms":[214],"many":[216],"multiple-view":[217],"sets.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
