{"id":"https://openalex.org/W4285049621","doi":"https://doi.org/10.1109/tfuzz.2022.3189831","title":"Graph Enhanced Fuzzy Clustering for Categorical Data Using a Bayesian Dissimilarity Measure","display_name":"Graph Enhanced Fuzzy Clustering for Categorical Data Using a Bayesian Dissimilarity Measure","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4285049621","doi":"https://doi.org/10.1109/tfuzz.2022.3189831"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2022.3189831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3189831","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/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"]},{"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":"Chuanbin Zhang","raw_affiliation_strings":["Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China","School of Computer Science and Software, Zhaoqing University, Zhaoqing, China"],"raw_orcid":"https://orcid.org/0000-0003-4950-7075","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]},{"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/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, Macau, 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, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056087679","display_name":"Yin\u2010Ping Zhao","orcid":"https://orcid.org/0000-0003-2766-5689"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin-Ping Zhao","raw_affiliation_strings":["School of Software, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-2766-5689","affiliations":[{"raw_affiliation_string":"School of Software, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084672494","display_name":"Yingxu Wang","orcid":"https://orcid.org/0000-0003-0635-2747"},"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, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-0635-2747","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5451-7230","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.674,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.9384417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"31","issue":"3","first_page":"810","last_page":"824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9998000264167786,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9929999709129333,"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/categorical-variable","display_name":"Categorical variable","score":0.8207252621650696},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7582339644432068},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6248899102210999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5661935210227966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.559518039226532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.520763635635376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44596824049949646},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4349752366542816},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4344158470630646},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4329952597618103},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4241587817668915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3975502848625183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32410502433776855}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8207252621650696},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7582339644432068},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6248899102210999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5661935210227966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.559518039226532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.520763635635376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44596824049949646},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4349752366542816},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4344158470630646},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4329952597618103},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4241587817668915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3975502848625183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32410502433776855},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2022.3189831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2022.3189831","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":[],"awards":[{"id":"https://openalex.org/G1453295670","display_name":null,"funder_award_id":"2021A1515011860","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"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/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1128809682","https://openalex.org/W1453103518","https://openalex.org/W1562135275","https://openalex.org/W1565746575","https://openalex.org/W1879447438","https://openalex.org/W1884731728","https://openalex.org/W1965555277","https://openalex.org/W1978348710","https://openalex.org/W1982869853","https://openalex.org/W1985702987","https://openalex.org/W1988387273","https://openalex.org/W2002575106","https://openalex.org/W2011430131","https://openalex.org/W2016563783","https://openalex.org/W2020344074","https://openalex.org/W2052760675","https://openalex.org/W2057712948","https://openalex.org/W2057909588","https://openalex.org/W2057923756","https://openalex.org/W2082576445","https://openalex.org/W2094510831","https://openalex.org/W2097502977","https://openalex.org/W2113054345","https://openalex.org/W2127971792","https://openalex.org/W2128061101","https://openalex.org/W2130880600","https://openalex.org/W2135964318","https://openalex.org/W2149230623","https://openalex.org/W2153233077","https://openalex.org/W2164381747","https://openalex.org/W2312464733","https://openalex.org/W2317007965","https://openalex.org/W2473552888","https://openalex.org/W2523416820","https://openalex.org/W2558739997","https://openalex.org/W2570647573","https://openalex.org/W2793385194","https://openalex.org/W2794504545","https://openalex.org/W2811024573","https://openalex.org/W2922101780","https://openalex.org/W2944000174","https://openalex.org/W2947988006","https://openalex.org/W2999786665","https://openalex.org/W3017786722","https://openalex.org/W3043922872","https://openalex.org/W3082734218","https://openalex.org/W3120740533","https://openalex.org/W3125433188","https://openalex.org/W3133591621","https://openalex.org/W4213009331","https://openalex.org/W4232632925","https://openalex.org/W4235169531","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2556490192","https://openalex.org/W2892323093","https://openalex.org/W2361242132","https://openalex.org/W3071522575","https://openalex.org/W3140018618","https://openalex.org/W2406185607","https://openalex.org/W2389934482","https://openalex.org/W2374506950","https://openalex.org/W2353443653","https://openalex.org/W4308301473"],"abstract_inverted_index":{"Categorical":[0],"data":[1,16,88,153],"are":[2,39],"widely":[3],"available":[4],"in":[5,14,70,107],"many":[6],"real-world":[7,172],"applications,":[8],"and":[9,54,164,171,180,193,206],"to":[10,110,120,139],"discover":[11],"valuable":[12],"patterns":[13],"such":[15],"by":[17,75,160],"clustering":[18,36,59,68,93,137],"is":[19,96,105,133,158],"of":[20,26,58,83,87,125,152,190,201],"great":[21],"importance.":[22],"However,":[23],"the":[24,56,77,112,123,136,141,148,161,165,169,178,187,199,202,207],"lack":[25],"a":[27,65,79,84,90,127,195],"decent":[28],"quantitative":[29],"relationship":[30],"among":[31],"categorical":[32,48,61,99,116],"values":[33,117],"makes":[34],"traditional":[35],"approaches,":[37],"which":[38],"usually":[40],"developed":[41],"for":[42,60,98,146],"numerical":[43],"data,":[44,62],"perform":[45],"poorly":[46],"on":[47,144,168,198],"datasets.":[49],"To":[50],"solve":[51],"this":[52,71,108],"problem":[53],"boost":[55],"performance":[57,124],"we":[63],"propose":[64],"novel":[66,128],"fuzzy":[67,92],"model":[69,157],"article.":[72],"At":[73],"first,":[74],"approximating":[76],"maximum":[78],"posteriori":[80],"(MAP)":[81],"estimation":[82],"discrete":[85],"distribution":[86],"partition,":[89],"new":[91],"objective":[94,109,138],"function":[95],"designed":[97],"data.":[100],"The":[101,155],"Bayesian":[102,203],"dissimilarity":[103,204],"measure":[104,205],"formulated":[106],"tackle":[111],"subtle":[113],"relationships":[114],"between":[115],"efficiently.":[118],"Then,":[119],"further":[121],"enhance":[122],"clustering,":[126],"Kullback\u2013Leibler":[129],"divergence-based":[130,209],"graph":[131,210],"regularization":[132],"integrated":[134],"into":[135],"exploit":[140],"prior":[142],"knowledge":[143],"datasets,":[145],"example,":[147],"information":[149],"about":[150],"correlations":[151],"points.":[154],"proposed":[156],"solved":[159],"alternative":[162],"optimization":[163],"experimental":[166],"results":[167],"synthetic":[170],"datasets":[173],"show":[174],"that":[175],"it":[176],"outperforms":[177],"classical":[179],"relevant":[181],"state-of-the-art":[182],"algorithms.":[183],"We":[184],"also":[185],"present":[186],"parameter":[188],"analysis":[189],"our":[191],"approach,":[192],"conduct":[194],"comprehensive":[196],"study":[197],"effectiveness":[200],"KL":[208],"regularization.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
