{"id":"https://openalex.org/W3131622832","doi":"https://doi.org/10.1109/tkde.2021.3060742","title":"Electroencephalogram Signal Clustering With Convex Cooperative Games","display_name":"Electroencephalogram Signal Clustering With Convex Cooperative Games","publication_year":2021,"publication_date":"2021-02-22","ids":{"openalex":"https://openalex.org/W3131622832","doi":"https://doi.org/10.1109/tkde.2021.3060742","mag":"3131622832"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3060742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3060742","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5038432832","display_name":"Chenglong Dai","orcid":"https://orcid.org/0000-0002-1908-0026"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglong Dai","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-1908-0026","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007475662","display_name":"Jia Wu","orcid":"https://orcid.org/0000-0002-1371-5801"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jia Wu","raw_affiliation_strings":["Department of Computing, Macquarie University, Macquarie Park, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1371-5801","affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Macquarie Park, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088602677","display_name":"Dechang Pi","orcid":"https://orcid.org/0000-0002-6593-4563"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dechang Pi","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-6593-4563","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722152","display_name":"Lin Cui","orcid":"https://orcid.org/0000-0002-1001-7821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Cui","raw_affiliation_strings":["Intelligent Information Processing Laboratory, Suzhou University, Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-1001-7821","affiliations":[{"raw_affiliation_string":"Intelligent Information Processing Laboratory, Suzhou University, Suzhou, Jiangsu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036657761","display_name":"Blake W. Johnson","orcid":"https://orcid.org/0000-0002-0598-4358"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Blake Johnson","raw_affiliation_strings":["Department of Cognitive Science, Macquarie University, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0598-4358","affiliations":[{"raw_affiliation_string":"Department of Cognitive Science, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047893798","display_name":"Stefanie I. Becker","orcid":"https://orcid.org/0000-0003-4198-5056"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stefanie I. Becker","raw_affiliation_strings":["School of Psychology, University of Queensland, St Lucia, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4198-5056","affiliations":[{"raw_affiliation_string":"School of Psychology, University of Queensland, St Lucia, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4988,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80170033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"34","issue":"12","first_page":"5755","last_page":"5769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9950000047683716,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8158454895019531},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8125343322753906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6964432001113892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5362101793289185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4703041911125183},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35985302925109863},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3314167857170105},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12349739670753479}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8158454895019531},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8125343322753906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6964432001113892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5362101793289185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4703041911125183},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35985302925109863},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3314167857170105},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12349739670753479},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3060742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3060742","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G3210365191","display_name":null,"funder_award_id":"U1433116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4890131602","display_name":null,"funder_award_id":"NP2017208","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5843678168","display_name":null,"funder_award_id":"61702355","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W80917968","https://openalex.org/W120692785","https://openalex.org/W141062567","https://openalex.org/W1673310716","https://openalex.org/W1975879668","https://openalex.org/W2004306263","https://openalex.org/W2028794308","https://openalex.org/W2037537012","https://openalex.org/W2060322699","https://openalex.org/W2061171222","https://openalex.org/W2073459066","https://openalex.org/W2078559879","https://openalex.org/W2084376194","https://openalex.org/W2084616221","https://openalex.org/W2085648025","https://openalex.org/W2089923519","https://openalex.org/W2096879261","https://openalex.org/W2097747115","https://openalex.org/W2099322651","https://openalex.org/W2100874881","https://openalex.org/W2110667918","https://openalex.org/W2111004121","https://openalex.org/W2112056172","https://openalex.org/W2121410881","https://openalex.org/W2134630504","https://openalex.org/W2160642098","https://openalex.org/W2310934946","https://openalex.org/W2330341220","https://openalex.org/W2343305037","https://openalex.org/W2464278975","https://openalex.org/W2466248227","https://openalex.org/W2487898712","https://openalex.org/W2566849112","https://openalex.org/W2574833973","https://openalex.org/W2577472518","https://openalex.org/W2585746932","https://openalex.org/W2604733392","https://openalex.org/W2737111888","https://openalex.org/W2807737462","https://openalex.org/W2809868225","https://openalex.org/W2851429266","https://openalex.org/W2887425726","https://openalex.org/W2923625587","https://openalex.org/W2940902102","https://openalex.org/W2944155581","https://openalex.org/W2945746993","https://openalex.org/W2951019399","https://openalex.org/W2952414688","https://openalex.org/W2964096389","https://openalex.org/W2970771021","https://openalex.org/W3004549295","https://openalex.org/W3008551553","https://openalex.org/W4235169531","https://openalex.org/W4250339156","https://openalex.org/W4287899939","https://openalex.org/W6604905834","https://openalex.org/W6605792473","https://openalex.org/W6637131181","https://openalex.org/W6668990524","https://openalex.org/W6674952872","https://openalex.org/W6676671362","https://openalex.org/W6731871752","https://openalex.org/W6767273713"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919","https://openalex.org/W4323929055"],"abstract_inverted_index":{"Currently,":[0],"electroencephalogram":[1],"(EEG)":[2],"is":[3,36,76,123],"mostly":[4],"analyzed":[5],"in":[6,24,52,86],"a":[7,37,64,87],"supervised":[8],"way,":[9],"which":[10],"requires":[11],"EEG":[12,15,23,34,51,57,72,80,96,104,120,133,142,159,171],"labels":[13],"(e.g.,":[14],"classification).":[16],"With":[17],"the":[18,83,118,185],"ever-increasing":[19],"amount":[20],"of":[21,33,181,187],"unlabeled/mislabeled":[22],"neuropsychiatric":[25],"disorder":[26],"diagnosis,":[27],"BCI,":[28],"and":[29,40,43,90,102,125,149],"rehabilitation,":[30],"manually":[31],"labeling":[32],"data":[35],"labor":[38],"intensive":[39],"time-consuming":[41],"process,":[42],"few":[44],"labs":[45],"have":[46],"developed":[47],"algorithms":[48],"to":[49,69,77,82,128,146],"analyze":[50],"an":[53,129],"unsupervised":[54],"manner":[55],"(i.e.,":[56],"clustering).":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"cooperative":[65,88,121],"game":[66,122],"inspired":[67],"approach":[68],"cluster":[70,93],"multi-trial":[71,79,132,141,170],"data.":[73],"The":[74,137],"idea":[75],"map":[78],"clustering":[81,134,143,163,182],"coalition":[84],"formation":[85],"game,":[89],"then":[91],"identify":[92],"center":[94],"(the":[95],"trial":[97],"with":[98,144,177],"highest":[99],"Shapley":[100,114],"value)":[101],"assign":[103],"trials":[105],"into":[106],"proper":[107],"clusters":[108],"based":[109],"on":[110,168],"their":[111],"cross":[112],"correlation-transformed":[113],"values.":[115],"We":[116,152],"demonstrate":[117],"mapped":[119],"convex,":[124],"it":[126,190],"leads":[127],"algorithm":[130],"for":[131],"named":[135],"CoGEEGc.":[136],"CoGEEGc":[138,155],"yields":[139],"high-quality":[140],"respect":[145],"intra-cluster":[147],"compactness":[148],"inter-cluster":[150],"scatter.":[151],"show":[153],"that":[154],"outperforms":[156],"15":[157,175],"state-of-the-art":[158],"or":[160],"time":[161],"series":[162],"approaches":[164,196],"through":[165],"detailed":[166],"experimentation":[167],"real-world":[169],"datasets.":[172],"Comparison":[173],"against":[174],"methods":[176],"four":[178],"theoretical":[179],"properties":[180,193],"further":[183],"illustrates":[184],"superiority":[186],"CoGEEGc,":[188],"as":[189],"satisfies":[191],"two":[192],"while":[194],"other":[195],"only":[197],"satisfy":[198],"one.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}