{"id":"https://openalex.org/W2003207033","doi":"https://doi.org/10.1109/cec.2012.6256453","title":"Fast unsupervised learning method for rapid estimation of cluster centroids","display_name":"Fast unsupervised learning method for rapid estimation of cluster centroids","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2003207033","doi":"https://doi.org/10.1109/cec.2012.6256453","mag":"2003207033"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2012.6256453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256453","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":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1266117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073644414","display_name":"Mitchell Yuwono","orcid":"https://orcid.org/0000-0002-0824-8233"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mitchell Yuwono","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, Sydney, Australia","Centre for Health Technologies; University of Technology; Sydney Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Centre for Health Technologies; University of Technology; Sydney Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055012056","display_name":"Steven W. Su","orcid":"https://orcid.org/0000-0002-5720-8852"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Steven W. Su","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, Sydney, Australia","Centre for Health Technologies; University of Technology; Sydney Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Centre for Health Technologies; University of Technology; Sydney Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111579508","display_name":"Bruce Moulton","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bruce Moulton","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, Sydney, Australia","Centre for Health Technologies; University of Technology; Sydney Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Centre for Health Technologies; University of Technology; Sydney Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716476","display_name":"Hung T. Nguyen","orcid":"https://orcid.org/0000-0003-3373-8178"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hung Nguyen","raw_affiliation_strings":["Centre for Health Technologies, University of Technology, Sydney, Sydney, Australia","Centre for Health Technologies; University of Technology; Sydney Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Health Technologies, University of Technology, Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Centre for Health Technologies; University of Technology; Sydney Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9829000234603882,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8395488262176514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6175411939620972},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5997136235237122},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5907695293426514},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5860833525657654},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.48356863856315613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44651782512664795},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4178030788898468},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34685778617858887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3020656704902649}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8395488262176514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6175411939620972},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5997136235237122},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5907695293426514},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5860833525657654},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.48356863856315613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44651782512664795},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4178030788898468},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34685778617858887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3020656704902649},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cec.2012.6256453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2012.6256453","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:opus.lib.uts.edu.au:10453/22935","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/22935","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"},{"id":"pmh:oai:researchbank.swinburne.edu.au:5f38ffb0-513e-4f6b-a068-bca1cf08ba13/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/441217","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2012 IEEE Congress on Evolutionary Computation, (CEC 2012), Brisbane, Queensland, Australia, 10-15 June 2012","raw_type":null},{"id":"pmh:oai:zenodo.org:1266117","is_oa":true,"landing_page_url":"https://zenodo.org/record/1266117","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1266117","is_oa":true,"landing_page_url":"https://zenodo.org/record/1266117","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1585002319","https://openalex.org/W2052572853","https://openalex.org/W2101854343","https://openalex.org/W2109364787","https://openalex.org/W2113368868","https://openalex.org/W2168733007","https://openalex.org/W2186651065","https://openalex.org/W2220784672","https://openalex.org/W6686873019","https://openalex.org/W6689008991"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2611300636","https://openalex.org/W2082644203","https://openalex.org/W3165040664","https://openalex.org/W2007009951","https://openalex.org/W4378768646","https://openalex.org/W1988922486"],"abstract_inverted_index":{"Data":[0],"clustering":[1,22,51,86,140],"is":[2,11,208],"a":[3,6,80,125,139,146,151],"process":[4],"where":[5,142],"set":[7],"of":[8,15,27,72,98,103,148,153,166],"data":[9,21,170],"points":[10],"divided":[12],"into":[13],"groups":[14],"similar":[16],"points.":[17],"Recent":[18],"approaches":[19],"for":[20,49,138,171,197,202],"have":[23,69],"seen":[24],"the":[25,54,96,101,143,185],"development":[26],"unsupervised":[28],"learning":[29],"algorithms":[30,48,58],"based":[31],"on":[32,160,191],"Particle":[33,40],"Swarm":[34,41],"Optimization":[35],"(PSO)":[36],"techniques.":[37],"These":[38],"include":[39],"Clustering":[42],"(PSC)":[43],"and":[44,56,74,82,105,113,132,150,199,214],"Modified":[45],"PSC":[46,55,104,131,198,213],"(mPSC)":[47],"solving":[50],"problems.":[52],"However,":[53],"mPSC":[57,106,137],"tend":[59],"to":[60,66,184,194],"be":[61],"computationally":[62],"expensive":[63],"when":[64],"applied":[65],"datasets":[67,163],"that":[68,121,181],"higher":[70],"levels":[71],"dimensionality":[73],"large":[75],"volumes.":[76],"This":[77],"paper":[78],"presents":[79],"novel":[81],"more":[83],"efficient":[84],"swarm":[85],"strategy":[87],"we":[88],"call":[89],"Rapid":[90],"Centroid":[91],"Estimation":[92],"(RCE).":[93],"We":[94,155,179],"compare":[95],"performance":[97,102],"RCE":[99,122,182,207],"with":[100,164,175],"in":[107],"several":[108],"ways":[109],"including":[110],"complexity":[111],"analyses":[112],"particle":[114,158],"behavior":[115],"analyses.":[116],"Our":[117],"benchmark":[118],"testing":[119],"suggests":[120],"can":[123],"reach":[124],"solution":[126],"274":[127],"times":[128,134],"quicker":[129,135],"than":[130,136,211],"270":[133],"task":[141],"dataset":[144],"has":[145],"dimension":[147],"80":[149],"volume":[152,165],"500.":[154],"also":[156],"investigated":[157],"behaviors":[159],"two-class":[161],"two-dimensional":[162],"500,":[167],"presenting":[168],"250":[169],"each":[172],"well-separated":[173],"class":[174],"known":[176],"Gaussian":[177],"centers.":[178],"found":[180],"converged":[183],"appropriate":[186],"centers":[187],"at":[188],"70":[189],"updates":[190,196,201],"average,":[192],"compared":[193],"19802":[195],"23006":[200],"mPSC.":[203,215],"An":[204],"ANOVA":[205],"indicates":[206],"significantly":[209],"faster":[210],"both":[212]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}