{"id":"https://openalex.org/W4396712800","doi":"https://doi.org/10.1109/tfuzz.2024.3397808","title":"CBCG: A Clustering Algorithm Based on Bidirectional Conical Information Granularity","display_name":"CBCG: A Clustering Algorithm Based on Bidirectional Conical Information Granularity","publication_year":2024,"publication_date":"2024-05-07","ids":{"openalex":"https://openalex.org/W4396712800","doi":"https://doi.org/10.1109/tfuzz.2024.3397808"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2024.3397808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3397808","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/A5086068094","display_name":"Bin Yu","orcid":"https://orcid.org/0000-0002-6321-2129"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yu","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China","College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-6321-2129","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]},{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078418486","display_name":"Zijian Zheng","orcid":"https://orcid.org/0000-0003-0354-9560"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijian Zheng","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China","College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]},{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069452567","display_name":"Mingjie Cai","orcid":"https://orcid.org/0000-0003-3652-2022"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Cai","raw_affiliation_strings":["College of Mathematics, Hunan University, Changsha, China","College of Mathematics, Hunan University, Changsha, Hunan, China","Shenzhen Research Institute of Hunan University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-3652-2022","affiliations":[{"raw_affiliation_string":"College of Mathematics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Mathematics, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Shenzhen Research Institute of Hunan University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I4210121333","display_name":"Istinye University","ror":"https://ror.org/03081nz23","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210121333"]},{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["CA","PL","TR"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Istinye University Sariyer/Istanbul, Turkiye","Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Istinye University Sariyer/Istanbul, Turkiye","institution_ids":["https://openalex.org/I4210121333"]},{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100437308","display_name":"Zeshui Xu","orcid":"https://orcid.org/0000-0003-3547-2908"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeshui Xu","raw_affiliation_strings":["Business School, Sichuan University, Chengdu, China","Business School, Sichuan University, Chengdu, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-3547-2908","affiliations":[{"raw_affiliation_string":"Business School, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"Business School, Sichuan University, Chengdu, P.R. China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2091,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81303215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"32","issue":"8","first_page":"4388","last_page":"4400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9934999942779541,"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":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8286519050598145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6851953864097595},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6653375029563904},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6539480686187744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6453595757484436},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5485820770263672},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5073453783988953},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5062431693077087},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5003714561462402},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4859715700149536},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4500654935836792},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4495181739330292},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.44229161739349365},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.4269174039363861},{"id":"https://openalex.org/keywords/complete-linkage-clustering","display_name":"Complete-linkage clustering","score":0.42050081491470337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38755157589912415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3804997205734253}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8286519050598145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6851953864097595},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6653375029563904},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6539480686187744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453595757484436},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5485820770263672},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5073453783988953},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5062431693077087},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5003714561462402},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4859715700149536},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4500654935836792},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4495181739330292},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.44229161739349365},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.4269174039363861},{"id":"https://openalex.org/C23822008","wikidata":"https://www.wikidata.org/wiki/Q5156437","display_name":"Complete-linkage clustering","level":5,"score":0.42050081491470337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38755157589912415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3804997205734253},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2024.3397808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3397808","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/G1414775507","display_name":null,"funder_award_id":"2023A1515012342","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5770629641","display_name":null,"funder_award_id":"2023JJ30113","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G8284044284","display_name":null,"funder_award_id":"2023JJ30387","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1978627835","https://openalex.org/W1979199342","https://openalex.org/W1995450389","https://openalex.org/W2035890032","https://openalex.org/W2044057788","https://openalex.org/W2062696711","https://openalex.org/W2088698696","https://openalex.org/W2100198805","https://openalex.org/W2107208924","https://openalex.org/W2135076825","https://openalex.org/W2153676086","https://openalex.org/W2165835468","https://openalex.org/W2765377385","https://openalex.org/W2793458718","https://openalex.org/W2884523964","https://openalex.org/W2900089459","https://openalex.org/W2914095169","https://openalex.org/W2989196101","https://openalex.org/W2998095093","https://openalex.org/W3004346138","https://openalex.org/W3005806855","https://openalex.org/W3025751404","https://openalex.org/W3025793945","https://openalex.org/W3035170123","https://openalex.org/W3042729432","https://openalex.org/W3048804154","https://openalex.org/W3090586341","https://openalex.org/W3119102269","https://openalex.org/W3155219088","https://openalex.org/W3169899284","https://openalex.org/W3181646358","https://openalex.org/W3196469142","https://openalex.org/W4206423030","https://openalex.org/W4310599588","https://openalex.org/W4323671187","https://openalex.org/W4388572451","https://openalex.org/W4390755306","https://openalex.org/W6668990524","https://openalex.org/W6779032261"],"related_works":["https://openalex.org/W2188840951","https://openalex.org/W2599570117","https://openalex.org/W2183813428","https://openalex.org/W3092684173","https://openalex.org/W4249166706","https://openalex.org/W2056194206","https://openalex.org/W3087769312","https://openalex.org/W2342508359","https://openalex.org/W2101887416","https://openalex.org/W2125631209"],"abstract_inverted_index":{"In":[0,65,106],"this":[1,266],"paper,":[2],"we":[3,110],"propose":[4],"a":[5,134,194,277],"novel":[6],"center-based":[7],"clustering":[8,38,214,226,248,288],"algorithm":[9,47,263,289],"based":[10],"on":[11,273,298],"bidirectional":[12],"conical":[13,84],"information":[14,25,85,164],"granularity.":[15],"The":[16,45,122,257],"main":[17,50],"purpose":[18],"is":[19,77,283],"to":[20,32,114,133,144,207,229],"fully":[21],"absorb":[22],"the":[23,27,34,53,57,62,66,70,73,81,88,91,99,107,112,130,138,142,148,152,155,158,163,166,173,189,199,203,209,231,238,262,274,287,292],"semantic":[24],"of":[26,36,55,68,83,102,165,178,198,202,213,233,242,246],"ordinal":[28,184],"relationship":[29,177],"between":[30,141],"objects":[31,131,143,156,179],"improve":[33,208],"performance":[35,232],"central":[37],"in":[39,87,157,188,216,254,265,291],"identifying":[40],"interleaved":[41,218],"and":[42,60,90,119,125,128,147,151,175,211,219,250,279,294],"imbalanced":[43,220],"data.":[44,204,221],"proposed":[46,253,264],"includes":[48],"two":[49],"stages:":[51],"(i)":[52],"stage":[54,67],"determining":[56,69],"cluster":[58,71,75,93,135,149],"center":[59,76],"(ii)":[61],"division":[63,108],"stage.":[64],"center,":[72,150],"first":[74],"determined":[78,96],"by":[79,97,136,161],"using":[80,162],"number":[82],"granularity":[86],"data,":[89],"remaining":[92],"centers":[94],"are":[95,181],"defining":[98],"statistical":[100],"measure":[101],"\u201cfuzzy":[103],"importance":[104],"degree\u201d.":[105],"stage,":[109],"divide":[111],"points":[113,167],"be":[115,145],"clustered":[116,146],"into":[117],"stable":[118],"active":[120,159],"areas.":[121],"former":[123],"quickly":[124],"accurately":[126,187,272],"identifies":[127],"assigns":[129,154],"belonging":[132],"measuring":[137],"fuzzy":[139],"similarity":[140],"latter":[153],"area":[160],"already":[168],"assigned.":[169],"This":[170,205,222],"method":[171],"describes":[172],"position":[174],"sorting":[176],"that":[180,261],"granulated":[182],"through":[183],"relationships":[185],"more":[186,195,271],"global":[190],"environment,":[191],"thereby":[192],"gaining":[193],"comprehensive":[196],"understanding":[197],"structural":[200],"characteristics":[201],"helps":[206],"accuracy":[210],"stability":[212],"algorithms":[215,249,252],"handling":[217],"paper":[223,267],"uses":[224],"three":[225],"validity":[227],"indicators":[228],"test":[230],"our":[234],"algorithm.":[235],"We":[236],"compare":[237],"results":[239,259],"with":[240,276,300],"those":[241],"six":[243],"different":[244],"types":[245],"popular":[247],"new":[251],"recent":[255],"years.":[256],"experimental":[258],"show":[260],"can":[268],"identify":[269],"clusters":[270],"datasets":[275,299],"complex":[278],"staggered":[280],"distribution.":[281],"It":[282],"significantly":[284],"better":[285],"than":[286],"participating":[290],"comparison":[293],"has":[295],"good":[296],"robustness":[297],"added":[301],"noise.":[302]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
