{"id":"https://openalex.org/W1972417950","doi":"https://doi.org/10.1109/cdc.2014.7039497","title":"Ensemble Online Clustering through Decentralized Observations","display_name":"Ensemble Online Clustering through Decentralized Observations","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1972417950","doi":"https://doi.org/10.1109/cdc.2014.7039497","mag":"1972417950"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2014.7039497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2014.7039497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"53rd IEEE Conference on Decision and Control","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/A5033667806","display_name":"Dimitrios Katselis","orcid":"https://orcid.org/0000-0001-7625-3360"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dimitrios Katselis","raw_affiliation_strings":["Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","Coordinated Science Laboratory and the Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, 61801-2925, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Coordinated Science Laboratory and the Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, 61801-2925, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043282337","display_name":"Carolyn L. Beck","orcid":"https://orcid.org/0000-0003-4880-6380"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carolyn L. Beck","raw_affiliation_strings":["Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","Coordinated Science Laboratory and the Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, 61801-2925, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Coordinated Science Laboratory and the Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, 61801-2925, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012339002","display_name":"Mihaela van der Schaar","orcid":"https://orcid.org/0000-0003-3933-6049"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihaela van der Schaar","raw_affiliation_strings":["Electrical Engineering Department, UCLA, Los Angeles, CA, USA","Electrical Engineering Department, UCLA, Los Angeles CA 90095, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, UCLA, Los Angeles, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Electrical Engineering Department, UCLA, Los Angeles CA 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033667806"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":2.045,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8870199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"910","last_page":"915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9983999729156494,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9983999729156494,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9912999868392944,"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":0.8716282844543457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299264669418335},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5832589864730835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5476906299591064},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5299333930015564},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5022504329681396},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.49801206588745117},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4742523729801178},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.44991374015808105},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4442836046218872},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4325448274612427},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4269440174102783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32570338249206543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31360042095184326}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8716282844543457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299264669418335},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5832589864730835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5476906299591064},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5299333930015564},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5022504329681396},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.49801206588745117},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4742523729801178},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.44991374015808105},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4442836046218872},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4325448274612427},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4269440174102783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32570338249206543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31360042095184326},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2014.7039497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2014.7039497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"53rd IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1553407966","https://openalex.org/W1787734157","https://openalex.org/W1977496278","https://openalex.org/W2022918053","https://openalex.org/W2042664989","https://openalex.org/W2107568926","https://openalex.org/W2142635246","https://openalex.org/W2149230623","https://openalex.org/W2153233077","https://openalex.org/W2161877964","https://openalex.org/W3027187636","https://openalex.org/W3149745985","https://openalex.org/W6622243269"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W3144143113","https://openalex.org/W2491448268","https://openalex.org/W4306940721","https://openalex.org/W2181939267","https://openalex.org/W2892323093","https://openalex.org/W3174322327","https://openalex.org/W2160785859","https://openalex.org/W3120229345","https://openalex.org/W3124860551"],"abstract_inverted_index":{"We":[0,42,90],"investigate":[1],"the":[2,16,38,47,72,76,93,108,121,135,138,141,154],"problem":[3,17],"of":[4,10,18,33,75,137,153],"online":[5,20,96],"learning":[6],"for":[7,51,149],"an":[8],"ensemble":[9,95],"agents":[11,27],"clustering":[12,22,45,59,88,139],"incoming":[13,39],"data,":[14,82],"i.e.,":[15],"combining":[19],"local":[21],"decisions":[23],"made":[24,114],"by":[25,115],"distributed":[26],"to":[28,55,79,86,107,129,146],"improve":[29],"knowledge":[30],"and":[31],"accuracy":[32],"implicit":[34],"clusters":[35],"hidden":[36],"in":[37,58],"data":[40,53,61],"streams.":[41],"focus":[43],"on":[44,101],"using":[46],"well-known":[48],"K-means":[49,77],"algorithm":[50,78],"numerical":[52],"due":[54],"its":[56],"efficiency":[57],"large":[60],"sets.":[62],"Nevertheless,":[63],"our":[64],"results":[65],"can":[66],"be":[67,113,147],"straightforwardly":[68],"extended":[69],"to,":[70],"e.g.,":[71],"K-modes":[73],"variant":[74],"handle":[80],"categorical":[81],"as":[83,85],"well":[84],"other":[87],"algorithms.":[89],"show":[91],"that":[92,111,119],"proposed":[94],"solutions,":[97],"which":[98],"are":[99],"based":[100],"a":[102,116],"simple":[103],"majority-voting":[104],"scheme,":[105],"converge":[106],"centralized":[109],"solutions":[110,122],"would":[112],"fusion":[117],"center,":[118],"is,":[120],"resulting":[123],"from":[124],"one":[125],"agent":[126],"with":[127],"access":[128],"all":[130],"information":[131],"across":[132],"agents.":[133],"Given":[134],"dimensions":[136],"model,":[140],"aforementioned":[142],"convergence":[143],"is":[144],"demonstrated":[145],"achievable":[148],"relatively":[150],"small":[151],"sizes":[152],"ensemble.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
