{"id":"https://openalex.org/W4415179011","doi":"https://doi.org/10.1109/tetci.2025.3616047","title":"Low-Rank Outlier-Robust Fuzzy Clustering With Adaptive Intrinsic Structure Preservation","display_name":"Low-Rank Outlier-Robust Fuzzy Clustering With Adaptive Intrinsic Structure Preservation","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415179011","doi":"https://doi.org/10.1109/tetci.2025.3616047"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2025.3616047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3616047","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5012322217","display_name":"Yingxu Wang","orcid":"https://orcid.org/0000-0003-0445-3632"},"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":false,"raw_author_name":"Yingxu Wang","raw_affiliation_strings":["Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macao, 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/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":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macao, China"],"raw_orcid":"https://orcid.org/0000-0003-0184-5446","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057655617","display_name":"Jin Zhou","orcid":"https://orcid.org/0000-0003-2447-3606"},"institutions":[{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zhou","raw_affiliation_strings":["School of Artificial Intelligence, Shandong Women&#x2019;s University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-2447-3606","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shandong Women&#x2019;s University, Jinan, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063064892","display_name":"Chuanbin Zhang","orcid":"https://orcid.org/0000-0003-4950-7075"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanbin Zhang","raw_affiliation_strings":["School of Computer Science and Software, Zhaoqing University, Zhaoqing, China"],"raw_orcid":"https://orcid.org/0000-0003-4950-7075","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software, Zhaoqing University, Zhaoqing, China","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022387948","display_name":"Zhaoyin Shi","orcid":"https://orcid.org/0000-0003-2899-8741"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyin Shi","raw_affiliation_strings":["College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2899-8741","affiliations":[{"raw_affiliation_string":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103928854","display_name":"Guang Feng","orcid":"https://orcid.org/0000-0002-0243-8933"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Feng","raw_affiliation_strings":["Shandong Key Laboratory of Ubiquitous Intelligent Computing, University of Jinan, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-0243-8933","affiliations":[{"raw_affiliation_string":"Shandong Key Laboratory of Ubiquitous Intelligent Computing, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25109316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"1","first_page":"1009","last_page":"1024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9726999998092651,"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":0.9726999998092651,"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":0.9682000279426575,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8101000189781189},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.7050999999046326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5835000276565552},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5756000280380249},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5734000205993652},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.558899998664856},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.5565000176429749},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4729999899864197},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4408999979496002}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8101000189781189},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.7050999999046326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6029000282287598},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5940999984741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5874999761581421},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5835000276565552},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5756000280380249},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5734000205993652},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.558899998664856},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.5565000176429749},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4729999899864197},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4408999979496002},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.44020000100135803},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43970000743865967},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.42089998722076416},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4156000018119812},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33730000257492065},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.3231000006198883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3089999854564667},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29330000281333923},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.29260000586509705},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.2851000130176544},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.25949999690055847},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2025.3616047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3616047","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1597120362","display_name":null,"funder_award_id":"ZR2023QF001","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3901612683","display_name":null,"funder_award_id":"62273164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4174869612","display_name":null,"funder_award_id":"ZR2025QC711","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5793342903","display_name":null,"funder_award_id":"62302191","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W219179425","https://openalex.org/W1940108662","https://openalex.org/W1975172027","https://openalex.org/W1979089718","https://openalex.org/W1980459279","https://openalex.org/W1982635649","https://openalex.org/W1995450389","https://openalex.org/W1997201895","https://openalex.org/W2058089823","https://openalex.org/W2088748973","https://openalex.org/W2089468765","https://openalex.org/W2095512713","https://openalex.org/W2103972604","https://openalex.org/W2149458897","https://openalex.org/W2155222065","https://openalex.org/W2559514807","https://openalex.org/W2604660378","https://openalex.org/W2610767040","https://openalex.org/W2792991240","https://openalex.org/W2914436796","https://openalex.org/W2922101780","https://openalex.org/W2940933409","https://openalex.org/W2945202593","https://openalex.org/W2963456460","https://openalex.org/W3005808018","https://openalex.org/W3017718751","https://openalex.org/W3025752507","https://openalex.org/W3027978271","https://openalex.org/W3036790830","https://openalex.org/W3094373624","https://openalex.org/W3095816548","https://openalex.org/W3097529996","https://openalex.org/W3133771674","https://openalex.org/W3186051966","https://openalex.org/W3202268379","https://openalex.org/W4213248191","https://openalex.org/W4220840109","https://openalex.org/W4225121862","https://openalex.org/W4285049621","https://openalex.org/W4285745303","https://openalex.org/W4367721873","https://openalex.org/W4386913514","https://openalex.org/W4388458832","https://openalex.org/W4389937721","https://openalex.org/W4393147155","https://openalex.org/W4395447244","https://openalex.org/W4396528656","https://openalex.org/W4396690788","https://openalex.org/W4399168453","https://openalex.org/W4399310958","https://openalex.org/W4399999363","https://openalex.org/W4400524780","https://openalex.org/W4401109150","https://openalex.org/W4401726115","https://openalex.org/W4402435380","https://openalex.org/W4403722779","https://openalex.org/W4403780799","https://openalex.org/W4405303853","https://openalex.org/W4406170506","https://openalex.org/W4406657594"],"related_works":[],"abstract_inverted_index":{"Fuzzy":[0],"clustering":[1,27,36,66,93,132,186,192,197],"is":[2,13,60,99,125,136,157],"an":[3,108],"efficient":[4],"tool":[5],"for":[6,25,63],"unsupervised":[7],"data":[8,59],"analysis,":[9],"but":[10,145],"its":[11,167],"performance":[12],"often":[14],"degraded":[15],"by":[16,107,159],"redundant":[17,75,141],"information":[18,98,142,203],"and":[19,84,130,143,166,170,200,217],"outliers.":[20],"To":[21],"solve":[22],"this":[23,45,103],"issue":[24],"boosting":[26],"results,":[28],"we":[29],"propose":[30],"a":[31,47],"novel":[32],"low-rank":[33,49,88,104],"outlier-robust":[34],"fuzzy":[35,65,191],"approach":[37],"with":[38],"adaptive":[39,109],"instrinsic":[40],"structure":[41,153],"preservation":[42],"(LORFC).":[43],"In":[44,77,175],"method,":[46],"new":[48],"feature":[50,68,105,218],"space":[51,106],"that":[52],"contains":[53],"the":[54,72,79,87,96,114,149,160,176,211],"global":[55,150],"components":[56],"of":[57,74,127,148,154,196,213],"raw":[58],"dynamically":[61],"learned":[62],"simultaneous":[64],"joint":[67,151],"selection,":[69],"to":[70,90,111,140],"reduce":[71],"influence":[73],"information.":[76],"addition,":[78],"outliers":[80,144,216],"are":[81,173],"sufficiently":[82],"extracted":[83],"removed":[85],"from":[86],"features,":[89],"ensure":[91],"robust":[92],"performance.":[94],"Moreover,":[95,205],"local":[97,152],"also":[100,146,207],"embeded":[101],"into":[102],"graph,":[110],"thoroughly":[112],"capture":[113],"intrinsic":[115],"struture":[116],"contained":[117],"in":[118,194,210],"data.":[119,155],"Based":[120],"on":[121,180],"these":[122],"strategies,":[123],"LORFC":[124,156,183],"capable":[126],"achieving":[128],"superior":[129],"reliable":[131],"performance,":[133],"as":[134],"it":[135,206],"not":[137],"only":[138],"immune":[139],"aware":[147],"optimized":[158],"alternative":[161],"direction":[162],"multiplier":[163],"method":[164],"(ADMM),":[165],"temporal":[168],"complexity":[169],"theoretical":[171],"convergence":[172],"analyzed.":[174],"comprehensive":[177],"experiments":[178],"conducted":[179],"twelve":[181],"datasets,":[182],"achieves":[184],"better":[185],"results":[187],"than":[188],"several":[189],"state-of-the-art":[190],"methods":[193],"terms":[195],"accuracy":[198],"(CA)":[199],"normalized":[201],"mutual":[202],"(NMI).":[204],"performs":[208],"well":[209],"test":[212],"handling":[214],"extra":[215],"selection.":[219]},"counts_by_year":[],"updated_date":"2026-01-26T23:06:41.788003","created_date":"2025-10-15T00:00:00"}
