{"id":"https://openalex.org/W2783772961","doi":"https://doi.org/10.1093/jigpal/jzx046","title":"An ensemble algorithm for Kohonen self-organizing map with different sizes","display_name":"An ensemble algorithm for Kohonen self-organizing map with different sizes","publication_year":2017,"publication_date":"2017-09-02","ids":{"openalex":"https://openalex.org/W2783772961","doi":"https://doi.org/10.1093/jigpal/jzx046","mag":"2783772961"},"language":"en","primary_location":{"id":"doi:10.1093/jigpal/jzx046","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jigpal/jzx046","pdf_url":null,"source":{"id":"https://openalex.org/S2734381524","display_name":"Logic Journal of IGPL","issn_l":"1367-0751","issn":["1367-0751","1368-9894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logic Journal of the IGPL","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/A5003061740","display_name":"Leandro Antonio Pasa","orcid":"https://orcid.org/0000-0002-0214-250X"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Leandro Antonio Pasa","raw_affiliation_strings":["Federal University of Technology Paran\u00e1, UTFPR, Medianeira, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Technology Paran\u00e1, UTFPR, Medianeira, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025179228","display_name":"Jos\u00e9 Alfredo Ferreira Costa","orcid":"https://orcid.org/0000-0002-1290-6454"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jos\u00e9 Alfredo F. Costa","raw_affiliation_strings":["Federal University of Rio Grande do Norte, UFRN, Natal, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte, UFRN, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083740564","display_name":"Marcial Guerra de Medeiros","orcid":null},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Marcial Guerra de Medeiros","raw_affiliation_strings":["Federal University of Rio Grande do Norte, UFRN, Natal, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Rio Grande do Norte, UFRN, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003061740","https://openalex.org/A5025179228","https://openalex.org/A5083740564"],"corresponding_institution_ids":["https://openalex.org/I1283613182","https://openalex.org/I35046152"],"apc_list":{"value":4151,"currency":"USD","value_usd":4151},"apc_paid":null,"fwci":0.3988,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73193931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"25","issue":"6","first_page":"1020","last_page":"1033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9990000128746033,"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":0.9990000128746033,"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/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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":0.9965000152587891,"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/self-organizing-map","display_name":"Self-organizing map","score":0.8705459833145142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8099446892738342},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7067182660102844},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6429357528686523},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5883702039718628},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5851298570632935},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5692740082740784},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4803810715675354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4545520842075348},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.43888336420059204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43287327885627747},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4239733815193176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37687012553215027},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11573770642280579}],"concepts":[{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.8705459833145142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8099446892738342},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7067182660102844},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6429357528686523},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5883702039718628},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5851298570632935},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5692740082740784},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4803810715675354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4545520842075348},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43888336420059204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43287327885627747},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4239733815193176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37687012553215027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11573770642280579},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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:10.1093/jigpal/jzx046","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jigpal/jzx046","pdf_url":null,"source":{"id":"https://openalex.org/S2734381524","display_name":"Logic Journal of IGPL","issn_l":"1367-0751","issn":["1367-0751","1368-9894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Logic Journal of the IGPL","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1534477342","https://openalex.org/W1553901637","https://openalex.org/W1565746575","https://openalex.org/W1608052929","https://openalex.org/W1679913846","https://openalex.org/W1965059951","https://openalex.org/W1966417372","https://openalex.org/W1972805005","https://openalex.org/W1975152892","https://openalex.org/W1980975236","https://openalex.org/W1983753875","https://openalex.org/W1985927390","https://openalex.org/W1996530550","https://openalex.org/W2022407902","https://openalex.org/W2040936824","https://openalex.org/W2044386109","https://openalex.org/W2051224630","https://openalex.org/W2055515775","https://openalex.org/W2060979493","https://openalex.org/W2072240081","https://openalex.org/W2100128988","https://openalex.org/W2110802877","https://openalex.org/W2135293965","https://openalex.org/W2148304369","https://openalex.org/W2171975443","https://openalex.org/W2192637340","https://openalex.org/W2291337432","https://openalex.org/W2308893070","https://openalex.org/W2912657807","https://openalex.org/W3120740533","https://openalex.org/W4232396098","https://openalex.org/W4235802563","https://openalex.org/W4236750568","https://openalex.org/W4237222446","https://openalex.org/W6636475756","https://openalex.org/W6639827547","https://openalex.org/W6641784137","https://openalex.org/W6641944125","https://openalex.org/W6676978831","https://openalex.org/W6680241786","https://openalex.org/W6697903527"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W1976320830","https://openalex.org/W2105758207","https://openalex.org/W4251684294"],"abstract_inverted_index":{"Abstract":[0],"Data":[1],"Clustering":[2,158],"aims":[3],"to":[4,29,52,105,111,132],"discover":[5],"groups":[6],"within":[7],"the":[8,24,93,103,153],"data":[9,49,68,71],"based":[10],"on":[11],"similarities,":[12],"with":[13,88,102,139,147,167,171],"a":[14,63,81,99,107,112,119],"minimal,":[15],"if":[16],"any,":[17],"knowledge":[18],"of":[19,41,48,65,83,95],"their":[20],"structure.":[21],"Variations":[22],"in":[23],"results":[25,97],"may":[26],"occur":[27],"due":[28],"many":[30],"factors,":[31],"including":[32,70],"algorithm":[33],"parameters,":[34],"initialization":[35],"and":[36,73,149,156],"stopping":[37],"criteria.":[38],"The":[39,161],"usage":[40],"different":[42,46,53,137,140],"attributes":[43],"or":[44,78],"even":[45],"subsets":[47],"usually":[50],"lead":[51],"results.":[54],"Self-organizing":[55],"maps":[56,138],"(SOM)":[57],"has":[58],"been":[59],"widely":[60],"used":[61,131],"for":[62],"variety":[64],"tasks":[66],"regarding":[67],"analysis,":[69],"visualization":[72],"clustering.":[74],"A":[75],"machine":[76],"committee,":[77],"ensemble,":[79],"is":[80],"set":[82],"neural":[84,114],"networks":[85],"working":[86],"independently":[87],"some":[89],"system":[90],"that":[91,123],"enable":[92],"combination":[94],"individual":[96],"into":[98],"single":[100,173],"output,":[101],"aim":[104],"achieve":[106],"better":[108],"generalization":[109],"compared":[110,170],"unique":[113],"network.":[115],"This":[116],"article":[117],"presents":[118],"new":[120],"ensemble":[121],"method":[122,163],"uses":[124],"SOM":[125],"networks.":[126],"Cluster":[127],"validity":[128],"indexes":[129],"are":[130,143],"combine":[133],"neuron":[134],"weights":[135],"from":[136,145,152],"sizes.":[141],"Results":[142],"shown":[144],"simulations":[146],"real":[148],"synthetic":[150],"data,":[151],"UCI":[154],"Repository":[155],"Fundamental":[157],"Problems":[159],"Suite.":[160],"proposed":[162],"presented":[164],"promising":[165],"results,":[166],"increased":[168],"performance":[169],"conventional":[172],"Kohonen":[174],"map.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}