{"id":"https://openalex.org/W1982771982","doi":"https://doi.org/10.1109/cec.2012.6252874","title":"AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms","display_name":"AutoClustering: An estimation of distribution algorithm for the automatic generation of clustering algorithms","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1982771982","doi":"https://doi.org/10.1109/cec.2012.6252874","mag":"1982771982"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2012.6252874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6252874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060879037","display_name":"Aruanda Sim\u00f5es Gon\u00e7alves Meiguins","orcid":null},"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":"Aruanda S. G. Meiguins","raw_affiliation_strings":["PPGEE, UFPA, Belem, Brazil","PPGEE - UFPA, Bel\u00e9m, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PPGEE, UFPA, Belem, Brazil","institution_ids":["https://openalex.org/I59606676"]},{"raw_affiliation_string":"PPGEE - UFPA, Bel\u00e9m, Brasil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113636027","display_name":"Roberto C. Lim\u00e3o","orcid":null},"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":"Roberto C. Limao","raw_affiliation_strings":["PPGEE, UFPA, Belem, Brazil","PPGEE - UFPA, Bel\u00e9m, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PPGEE, UFPA, Belem, Brazil","institution_ids":["https://openalex.org/I59606676"]},{"raw_affiliation_string":"PPGEE - UFPA, Bel\u00e9m, Brasil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086910523","display_name":"Bianchi Serique Meiguins","orcid":"https://orcid.org/0000-0001-5872-4827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bianchi S. Meiguins","raw_affiliation_strings":["ICEN, UFPA, Belem, Brazil","ICEN- UFPA, Bel\u00e9m, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICEN, UFPA, Belem, Brazil","institution_ids":[]},{"raw_affiliation_string":"ICEN- UFPA, Bel\u00e9m, Brasil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073143151","display_name":"F. S. Samuel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel F. S. Junior","raw_affiliation_strings":["ICEN, UFPA, Belem, Brazil","ICEN- UFPA, Bel\u00e9m, Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICEN, UFPA, Belem, Brazil","institution_ids":[]},{"raw_affiliation_string":"ICEN- UFPA, Bel\u00e9m, Brasil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087201377","display_name":"Alex A. Freitas","orcid":"https://orcid.org/0000-0001-9825-4700"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex A. Freitas","raw_affiliation_strings":["University of Kent at Canterbury, Canterbury, UK","University of Kent, at Canterbury, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent at Canterbury, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]},{"raw_affiliation_string":"University of Kent, at Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2602,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.45701783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9944999814033508,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9919999837875366,"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/computer-science","display_name":"Computer science","score":0.7996028661727905},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7883073091506958},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6419804096221924},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.6154537796974182},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4743947982788086},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4676463305950165},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4405978322029114},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4267447590827942},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.4201367199420929},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.34738317131996155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2483372688293457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996028661727905},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7883073091506958},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6419804096221924},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.6154537796974182},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4743947982788086},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4676463305950165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4405978322029114},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4267447590827942},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.4201367199420929},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.34738317131996155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2483372688293457}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cec.2012.6252874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6252874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.308.9977","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.9977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.kent.ac.uk/people/staff/aaf/pub_papers.dir/CEC-2012-Aruanda.pdf","raw_type":"text"},{"id":"pmh:oai:kar.kent.ac.uk:30815","is_oa":false,"landing_page_url":"http://www.cs.kent.ac.uk/pubs/2012/3249","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or workshop item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W186845136","https://openalex.org/W576863261","https://openalex.org/W1231053678","https://openalex.org/W1484620994","https://openalex.org/W1515743009","https://openalex.org/W1602306524","https://openalex.org/W1673310716","https://openalex.org/W1886306325","https://openalex.org/W2007364060","https://openalex.org/W2047866469","https://openalex.org/W2117673627","https://openalex.org/W2121936281","https://openalex.org/W2166933393","https://openalex.org/W2466512847","https://openalex.org/W2482589566","https://openalex.org/W3120740533","https://openalex.org/W6637131181","https://openalex.org/W6677470400"],"related_works":["https://openalex.org/W2394193399","https://openalex.org/W2559422900","https://openalex.org/W2181939267","https://openalex.org/W2054669762","https://openalex.org/W2809859387","https://openalex.org/W2387373525","https://openalex.org/W2014841791","https://openalex.org/W2355615404","https://openalex.org/W2353158678","https://openalex.org/W2998469710"],"abstract_inverted_index":{"Most":[0],"of":[1,32,55,62,83,85,92,102,138],"the":[2,30,53,60,73,81,89,100,136,139,151],"existing":[3],"Data":[4],"Mining":[5],"algorithms":[6,57,153],"have":[7,13],"been":[8,14],"manually":[9],"produced,":[10],"that":[11,141],"is,":[12,142],"developed":[15],"by":[16,36,156],"a":[17,33,105,116,124,160],"human":[18],"programmer.":[19],"A":[20],"prominent":[21],"Artificial":[22],"Intelligence":[23],"research":[24],"area":[25],"is":[26,41],"automatic":[27],"programming":[28],"-":[29],"generation":[31,91,101],"computer":[34,38],"program":[35],"another":[37],"program.":[39],"Clustering":[40],"an":[42],"important":[43],"data":[44,63],"mining":[45],"task":[46],"with":[47],"many":[48,69],"useful":[49],"real-world":[50],"applications.":[51],"Particularly,":[52],"class":[54],"clustering":[56,94,152],"based":[58],"on":[59],"idea":[61],"density":[64],"to":[65,75,98,158],"identify":[66,76],"clusters":[67],"has":[68],"advantages,":[70],"such":[71],"as":[72],"ability":[74],"arbitrary-shape":[77],"clusters.":[78],"We":[79],"propose":[80],"use":[82],"Estimation":[84],"Distribution":[86],"Algorithms":[87],"for":[88],"artificial":[90],"density-based":[93],"algorithms.":[95],"In":[96],"order":[97],"guarantee":[99],"valid":[103],"algorithms,":[104],"directed":[106],"acyclic":[107],"graph":[108],"(DAG)":[109],"was":[110],"defined":[111],"where":[112],"each":[113,121],"node":[114],"represents":[115,123],"procedure":[117],"(building":[118],"block)":[119],"and":[120],"edge":[122],"possible":[125],"execution":[126],"sequence":[127],"between":[128],"two":[129],"nodes.":[130],"The":[131],"Building":[132],"Blocks":[133],"DAG":[134],"specifies":[135],"alphabet":[137],"EDA,":[140],"any":[143],"possibly":[144],"generated":[145,155],"algorithm.":[146,163],"Preliminary":[147],"experimental":[148],"results":[149],"compare":[150],"artificially":[154],"AutoClustering":[157],"DBSCAN,":[159],"well-known":[161],"manually-designed":[162]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
