{"id":"https://openalex.org/W3035487433","doi":"https://doi.org/10.1109/iwobi47054.2019.9114411","title":"AF-DBSCAN: An unsupervised Automatic Fuzzy Clustering method based on DBSCAN approach","display_name":"AF-DBSCAN: An unsupervised Automatic Fuzzy Clustering method based on DBSCAN approach","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3035487433","doi":"https://doi.org/10.1109/iwobi47054.2019.9114411","mag":"3035487433"},"language":"en","primary_location":{"id":"doi:10.1109/iwobi47054.2019.9114411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwobi47054.2019.9114411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","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/A5043171319","display_name":"Sihem Jebari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161954","display_name":"D\u00e9partement d'Informatique","ror":"https://ror.org/05y6rqs46","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210159245","https://openalex.org/I4210161954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sihem Jebari","raw_affiliation_strings":["Institut Suprieur d&#x0027;Informatique du Kef,Kef,Tunisia","Institut Suprieur d'Informatique du Kef, Kef, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Suprieur d&#x0027;Informatique du Kef,Kef,Tunisia","institution_ids":["https://openalex.org/I4210161954"]},{"raw_affiliation_string":"Institut Suprieur d'Informatique du Kef, Kef, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007545201","display_name":"Abir Smiti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140729","display_name":"Institut Sup\u00e9rieur de Gestion de Tunis","ror":"https://ror.org/04w9mdw91","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496","https://openalex.org/I4210140729"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Abir Smiti","raw_affiliation_strings":["LARODEC, Institut Suprieur de Gestion de Tunis,Tunis,Tunisia","LARODEC, Institut Suprieur de Gestion de Tunis, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LARODEC, Institut Suprieur de Gestion de Tunis,Tunis,Tunisia","institution_ids":["https://openalex.org/I4210140729"]},{"raw_affiliation_string":"LARODEC, Institut Suprieur de Gestion de Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210140729"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038070212","display_name":"Aymen Louati","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161954","display_name":"D\u00e9partement d'Informatique","ror":"https://ror.org/05y6rqs46","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2746051580","https://openalex.org/I29607241","https://openalex.org/I4210159245","https://openalex.org/I4210161954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aymen Louati","raw_affiliation_strings":["Institut Suprieur d&#x0027;Informatique du Kef,Kef,Tunisia","Institut Suprieur d'Informatique du Kef, Kef, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Suprieur d&#x0027;Informatique du Kef,Kef,Tunisia","institution_ids":["https://openalex.org/I4210161954"]},{"raw_affiliation_string":"Institut Suprieur d'Informatique du Kef, Kef, Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.723,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.79901987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"000001","last_page":"000006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/dbscan","display_name":"DBSCAN","score":0.9475427865982056},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7792775630950928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.722176194190979},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5844152569770813},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5694532990455627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4862033724784851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4815433621406555},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4632377028465271},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42696523666381836},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41859501600265503},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.41786572337150574},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.37155652046203613},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06715157628059387}],"concepts":[{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.9475427865982056},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7792775630950928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.722176194190979},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5844152569770813},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5694532990455627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4862033724784851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4815433621406555},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4632377028465271},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42696523666381836},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41859501600265503},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.41786572337150574},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.37155652046203613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06715157628059387},{"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/iwobi47054.2019.9114411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwobi47054.2019.9114411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1554214596","https://openalex.org/W1673310716","https://openalex.org/W1681888921","https://openalex.org/W1995589365","https://openalex.org/W1997547316","https://openalex.org/W2051655203","https://openalex.org/W2057992256","https://openalex.org/W2063166909","https://openalex.org/W2073752716","https://openalex.org/W2130501886","https://openalex.org/W2170508864","https://openalex.org/W2187492663","https://openalex.org/W2403604687","https://openalex.org/W2912565176","https://openalex.org/W4242927558","https://openalex.org/W4248653923","https://openalex.org/W6679527195","https://openalex.org/W6685001313","https://openalex.org/W6686907109","https://openalex.org/W6713329464"],"related_works":["https://openalex.org/W3176449234","https://openalex.org/W2045002201","https://openalex.org/W4225278791","https://openalex.org/W2353158678","https://openalex.org/W2767235736","https://openalex.org/W2596632494","https://openalex.org/W4224807364","https://openalex.org/W4312412183","https://openalex.org/W4292434959","https://openalex.org/W2998469710"],"abstract_inverted_index":{"Automatic":[0],"clustering":[1,23,43,54,143,183],"problems":[2],"play":[3],"an":[4,39],"important":[5],"role":[6],"to":[7,19,74,89,128,133],"ameliorate":[8],"the":[9,12,17,21,52,70,76,82,91,99,107,110,119,141,160,171,175],"goodness":[10],"of":[11,62,69,78,84,102,113],"data":[13,157,166],"set's":[14],"partitioning.":[15],"Actually,":[16],"requirement":[18],"detect":[20],"suitable":[22],"solution":[24],"without":[25],"need":[26],"for":[27,164],"user-given":[28],"parameters":[29],"still":[30],"remain":[31],"challenging":[32],"in":[33,87,105],"unsupervised":[34],"learning.":[35],"This":[36],"paper":[37],"proposes":[38],"efficient":[40],"and":[41,118,130,168],"effective":[42],"method,":[44],"named":[45],"AF-DBSCAN":[46,97],"(Automatic":[47],"Fuzzy":[48],"DBSCAN)":[49],"based":[50],"on":[51,153],"fuzzy":[53],"method":[55,72,173,177],"FN-DBSCAN":[56,79],"(Fuzzy":[57],"Neighborhood":[58],"Density-Based":[59],"Spatial":[60],"Clustering":[61],"Applications":[63],"with":[64],"Noise).":[65],"The":[66],"main":[67],"idea":[68],"proposed":[71,172],"is":[73],"cover":[75],"limitations":[77],"by":[80],"exploiting":[81],"benefits":[83],"k-neighbors":[85],"plot,":[86],"purpose":[88],"determine":[90,134],"input":[92,108],"parameter":[93],"values.":[94],"In":[95,138],"fact,":[96],"avoids":[98],"manual":[100],"intervention":[101],"non-experimental":[103],"users":[104],"estimating":[106],"parameters,":[109],"minimal":[111,120],"threshold":[112],"neighborhood":[114,121],"membership":[115],"degree":[116],"\u03f51":[117],"set":[122],"cardinality":[123],"\u03f52,":[124],"which":[125],"are":[126],"hard":[127],"guess,":[129],"so":[131],"permits":[132],"them":[135],"more":[136],"reasonably.":[137],"such":[139],"way,":[140],"whole":[142],"process":[144],"can":[145],"be":[146],"fully":[147],"automated.":[148],"Simulation":[149],"experiments,":[150],"carried":[151],"out":[152],"a":[154,181],"real":[155],"medical":[156],"set,":[158],"highlighted":[159],"AF-DBSCAN's":[161],"effectiveness":[162],"even":[163],"high-dimensions":[165],"sets,":[167],"showed":[169],"that":[170],"outperformed":[174],"classical":[176],"since":[178],"it":[179],"provides":[180],"better":[182],"accuracy.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
