{"id":"https://openalex.org/W3143119099","doi":"https://doi.org/10.1109/tnnls.2023.3243666","title":"Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning","display_name":"Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning","publication_year":2023,"publication_date":"2023-02-16","ids":{"openalex":"https://openalex.org/W3143119099","doi":"https://doi.org/10.1109/tnnls.2023.3243666","mag":"3143119099","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027776"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3243666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3243666","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.17086","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051714161","display_name":"Dayu Tan","orcid":"https://orcid.org/0000-0001-6162-1730"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]},{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dayu Tan","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, China","Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6162-1730","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103055957","display_name":"Zheng Huang","orcid":"https://orcid.org/0009-0003-2994-8030"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zheng Huang","raw_affiliation_strings":["School of Engineering Practice and Technology, McMaster University, Hamilton, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Practice and Technology, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067183406","display_name":"Xin Peng","orcid":"https://orcid.org/0000-0001-9277-8415"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Peng","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9277-8415","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040197045","display_name":"Weimin Zhong","orcid":"https://orcid.org/0000-0002-4285-4739"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Zhong","raw_affiliation_strings":["Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4285-4739","affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053746778","display_name":"Vladimir Mahalec","orcid":"https://orcid.org/0000-0001-8342-9707"},"institutions":[{"id":"https://openalex.org/I76442945","display_name":"Hamilton Health Sciences","ror":"https://ror.org/02dqdxm48","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I76442945"]},{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Vladimir Mahalec","raw_affiliation_strings":["School of Engineering Practice and Technology, Hamilton, ON, Canada","Department of Chemical Engineering, McMaster University, Hamilton, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-8342-9707","affiliations":[{"raw_affiliation_string":"School of Engineering Practice and Technology, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I76442945"]},{"raw_affiliation_string":"Department of Chemical Engineering, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051714161"],"corresponding_institution_ids":["https://openalex.org/I143593769","https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":3.3587,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93884841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"35","issue":"5","first_page":"6103","last_page":"6117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9976000189781189,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9934999942779541,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7780698537826538},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7541592121124268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6902761459350586},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6633056998252869},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5772831439971924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5278130769729614},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5094159245491028},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.49704983830451965},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.49386006593704224},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.45549994707107544},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.44379276037216187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4322880506515503},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3832916021347046}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7780698537826538},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7541592121124268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902761459350586},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6633056998252869},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5772831439971924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5278130769729614},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5094159245491028},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.49704983830451965},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.49386006593704224},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.45549994707107544},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.44379276037216187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4322880506515503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3832916021347046}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2023.3243666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3243666","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37027776","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027776","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:arXiv.org:2103.17086","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.17086","pdf_url":"https://arxiv.org/pdf/2103.17086","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2103.17086","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.17086","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.17086","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.17086","pdf_url":"https://arxiv.org/pdf/2103.17086","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2362273132","display_name":null,"funder_award_id":"62173145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4360841148","display_name":null,"funder_award_id":"22QA1402400","funder_id":"https://openalex.org/F4320327803","funder_display_name":"Shanghai Rising-Star Program"},{"id":"https://openalex.org/G5769414110","display_name":null,"funder_award_id":"61925305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5789780205","display_name":null,"funder_award_id":"61988101","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/F4320327803","display_name":"Shanghai Rising-Star Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2020735245","https://openalex.org/W2024657922","https://openalex.org/W2043331342","https://openalex.org/W2063123441","https://openalex.org/W2145094598","https://openalex.org/W2152322845","https://openalex.org/W2166782149","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2293078015","https://openalex.org/W2302255633","https://openalex.org/W2342543955","https://openalex.org/W2405933695","https://openalex.org/W2415145453","https://openalex.org/W2510493362","https://openalex.org/W2533545350","https://openalex.org/W2556838012","https://openalex.org/W2608862709","https://openalex.org/W2612872092","https://openalex.org/W2750692136","https://openalex.org/W2758611985","https://openalex.org/W2765741717","https://openalex.org/W2779692282","https://openalex.org/W2799118171","https://openalex.org/W2883725317","https://openalex.org/W2908035133","https://openalex.org/W2940009787","https://openalex.org/W2951004968","https://openalex.org/W2953791858","https://openalex.org/W2962716320","https://openalex.org/W2962852342","https://openalex.org/W2963420272","https://openalex.org/W2963446712","https://openalex.org/W2963684088","https://openalex.org/W2963749571","https://openalex.org/W2964074409","https://openalex.org/W2964166828","https://openalex.org/W2986063762","https://openalex.org/W2987402810","https://openalex.org/W2990500698","https://openalex.org/W2994560339","https://openalex.org/W2995006154","https://openalex.org/W2997574889","https://openalex.org/W3000775737","https://openalex.org/W3004946360","https://openalex.org/W3034576826","https://openalex.org/W3035314413","https://openalex.org/W3091192503","https://openalex.org/W3101709902","https://openalex.org/W3120689699","https://openalex.org/W3139417388","https://openalex.org/W3152635971","https://openalex.org/W3168997536","https://openalex.org/W3188582951","https://openalex.org/W4226366204","https://openalex.org/W4229080828","https://openalex.org/W4283732568","https://openalex.org/W4285505226","https://openalex.org/W4311415873","https://openalex.org/W6681096077","https://openalex.org/W6685352114","https://openalex.org/W6685380521","https://openalex.org/W6728550200"],"related_works":["https://openalex.org/W2491448268","https://openalex.org/W2892323093","https://openalex.org/W2394193399","https://openalex.org/W2374506950","https://openalex.org/W3071522575","https://openalex.org/W2352139139","https://openalex.org/W2054669762","https://openalex.org/W2399084168","https://openalex.org/W2556490192","https://openalex.org/W1985667446"],"abstract_inverted_index":{"Cluster":[0],"assignment":[1],"of":[2,26,73,122],"large":[3],"and":[4,16,79,91,126,134,182],"complex":[5],"datasets":[6,168],"is":[7,100,115],"a":[8,31,39,60,74,80,119,175],"crucial":[9],"but":[10],"challenging":[11],"task":[12],"in":[13,30,111,199],"pattern":[14],"recognition":[15],"computer":[17],"vision.":[18],"In":[19],"this":[20],"study,":[21],"we":[22,37],"explore":[23],"the":[24,51,96,107,130,137,147,160,171,187,196,200],"possibility":[25],"employing":[27],"fuzzy":[28,54,81,93,104,113],"clustering":[29,55,82,94,105,142,156,162,183,191],"deep":[32,52,75,85,108,123,131,161,190],"neural":[33,62],"network":[34,63],"framework.":[35],"Thus,":[36],"present":[38],"novel":[40],"evolutionary":[41],"unsupervised":[42],"learning":[43,88,133],"representation":[44,87,132],"model":[45,78,139,163],"with":[46,95,195],"iterative":[47],"optimization.":[48],"It":[49],"implements":[50],"adaptive":[53,98],"(DAFC)":[56],"strategy":[57],"that":[58,170],"learns":[59],"convolutional":[61],"classifier":[64],"from":[65,150],"given":[66],"only":[67],"unlabeled":[68],"data":[69,149],"samples.":[70],"DAFC":[71],"consists":[72],"feature":[76,86],"quality-verifying":[77],"model,":[83,110],"where":[84],"loss":[89],"function":[90],"embedded":[92],"weighted":[97],"entropy":[99],"implemented.":[101],"We":[102],"joint":[103,138],"to":[106,117,158,186],"reconstruction":[109,181],"which":[112],"membership":[114],"utilized":[116],"represent":[118],"clear":[120],"structure":[121],"cluster":[124],"assignments":[125],"jointly":[127],"optimize":[128],"for":[129,179],"clustering.":[135],"Also,":[136],"evaluates":[140],"current":[141],"performance":[143,178],"by":[144],"inspecting":[145],"whether":[146],"resampled":[148],"estimated":[151],"bottleneck":[152],"space":[153],"have":[154],"consistent":[155],"properties":[157],"improve":[159],"progressively.":[164],"Experiments":[165],"on":[166],"various":[167],"show":[169],"proposed":[172],"method":[173],"obtains":[174],"substantially":[176],"better":[177],"both":[180],"quality":[184],"compared":[185],"other":[188],"state-of-the-art":[189],"methods,":[192],"as":[193],"demonstrated":[194],"in-depth":[197],"analysis":[198],"extensive":[201],"experiments.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2021-04-13T00:00:00"}