{"id":"https://openalex.org/W4414116904","doi":"https://doi.org/10.1109/fuzz62266.2025.11152270","title":"A Dual-Weighted Gaussian Kernel-Based Method for Fuzzy Co-Clustering","display_name":"A Dual-Weighted Gaussian Kernel-Based Method for Fuzzy Co-Clustering","publication_year":2025,"publication_date":"2025-07-06","ids":{"openalex":"https://openalex.org/W4414116904","doi":"https://doi.org/10.1109/fuzz62266.2025.11152270"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz62266.2025.11152270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11152270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-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/A5035087259","display_name":"Jaewon Sa","orcid":"https://orcid.org/0000-0002-6470-3341"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jos\u00e9 Nataniel A. de S\u00e1","raw_affiliation_strings":["Universidade Federal de Pernambuco,Centro de Inform&#x00E1;tica - CIn/UFPE,Recife,PE,Brazil,CEP 50.740-560"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco,Centro de Inform&#x00E1;tica - CIn/UFPE,Recife,PE,Brazil,CEP 50.740-560","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025429430","display_name":"Marcelo R.P. Ferreira","orcid":"https://orcid.org/0000-0003-0242-0255"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo R. P. Ferreira","raw_affiliation_strings":["Universidade Federal da Para&#x00ED;ba,Departamento de Estat&#x00ED;stica - DE/UFPB,Jo&#x00E3;o Pessoa,PB,Brazil,CEP 58.050-585"],"affiliations":[{"raw_affiliation_string":"Universidade Federal da Para&#x00ED;ba,Departamento de Estat&#x00ED;stica - DE/UFPB,Jo&#x00E3;o Pessoa,PB,Brazil,CEP 58.050-585","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079004987","display_name":"Francisco de A.T. de Carvalho","orcid":"https://orcid.org/0000-0003-1128-745X"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco de A. T. de Carvalho","raw_affiliation_strings":["Universidade Federal de Pernambuco,Centro de Inform&#x00E1;tica - CIn/UFPE,Recife,PE,Brazil,CEP 50.740-560"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco,Centro de Inform&#x00E1;tica - CIn/UFPE,Recife,PE,Brazil,CEP 50.740-560","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035087259"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1236983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987999796867371,"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":0.9987999796867371,"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":0.996399998664856,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9797999858856201,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.6033999919891357},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.590399980545044},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.517300009727478},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5056999921798706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47209998965263367},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44859999418258667},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.42100000381469727},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.3995000123977661}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6098999977111816},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6033999919891357},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.590399980545044},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.517300009727478},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5056999921798706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4871000051498413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44859999418258667},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4169999957084656},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3887999951839447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36230000853538513},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.35920000076293945},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3102000057697296},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.299699991941452},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.29840001463890076},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.29019999504089355},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.2782000005245209},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz62266.2025.11152270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11152270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320323678","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Ci\u00eancia e Tecnologia do Estado de Pernambuco","ror":"https://ror.org/02te5rf52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1943545164","https://openalex.org/W2014158063","https://openalex.org/W2078749591","https://openalex.org/W2087916849","https://openalex.org/W2108995755","https://openalex.org/W2146434190","https://openalex.org/W2181139552","https://openalex.org/W2615276431","https://openalex.org/W2949676527","https://openalex.org/W3082134430","https://openalex.org/W4226343255","https://openalex.org/W4235169531","https://openalex.org/W4245155814","https://openalex.org/W4285265532","https://openalex.org/W4289236186","https://openalex.org/W4295767881","https://openalex.org/W4379620531","https://openalex.org/W4385525546","https://openalex.org/W4386783344","https://openalex.org/W4390415045","https://openalex.org/W4390587584","https://openalex.org/W4402238978"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4292434959"],"abstract_inverted_index":{"Unlike":[0],"traditional":[1],"clustering":[2],"methods":[3],"that":[4,57],"seek":[5],"groups":[6],"of":[7,62,88,126],"objects":[8,16,64,90],"or":[9],"variables":[10,19,31,76,92],"separately,":[11],"co-clustering":[12,55,135],"algorithms":[13],"simultaneously":[14],"group":[15],"(rows)":[17],"and":[18,65,91,120],"(columns),":[20],"aiming":[21],"to":[22,131],"identify":[23],"homogeneous":[24],"data":[25],"blocks.":[26],"Therefore,":[27],"not":[28,73],"only":[29,74],"the":[30,37,60,85,105,124,127],"can":[32],"represent":[33],"noise,":[34],"but":[35,77],"also":[36,78],"objects.":[38,80],"In":[39],"this":[40],"article,":[41],"we":[42,103],"propose":[43],"a":[44,53],"Dual":[45],"Weighted":[46],"Gaussian":[47,106],"Kernel":[48],"Fuzzy":[49],"Double":[50],"K-means":[51],"(DWGKFDK),":[52],"fuzzy":[54,134],"model":[56,129],"automatically":[58],"computes":[59],"weights":[61,96],"both":[63],"variables,":[66],"making":[67],"it":[68],"suitable":[69],"for":[70,97,112],"scenarios":[71],"with":[72],"irrelevant":[75,79],"The":[81],"DWGKFDK":[82],"algorithm":[83],"reduces":[84],"negative":[86],"impact":[87],"these":[89],"by":[93],"assigning":[94],"lower":[95],"them.":[98],"To":[99],"handle":[100],"non-linear":[101],"data,":[102],"use":[104],"kernel,":[107],"which":[108],"is":[109],"commonly":[110],"employed":[111],"grouping":[113],"non-linearly":[114],"separable":[115],"data.":[116],"Experiments":[117],"on":[118],"synthetic":[119],"real":[121],"datasets":[122],"confirmed":[123],"efficiency":[125],"new":[128],"compared":[130],"four":[132],"state-of-the-art":[133],"algorithms.":[136]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
