{"id":"https://openalex.org/W4393405194","doi":"https://doi.org/10.1109/tetci.2024.3378603","title":"Toward Autonomous Distributed Clustering","display_name":"Toward Autonomous Distributed Clustering","publication_year":2024,"publication_date":"2024-04-02","ids":{"openalex":"https://openalex.org/W4393405194","doi":"https://doi.org/10.1109/tetci.2024.3378603"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3378603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3378603","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Emerging Topics in Computational Intelligence","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/A5101750857","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-3109-472X"},"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":"Jie Yang","raw_affiliation_strings":["Computational Intelligence and Brain Computer Interface Lab, GrapheneX-UTS HAI Centre, Australian AI Institute, SoCS, FEIT, University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3109-472X","affiliations":[{"raw_affiliation_string":"Computational Intelligence and Brain Computer Interface Lab, GrapheneX-UTS HAI Centre, Australian AI Institute, SoCS, FEIT, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058936239","display_name":"Chin\u2010Teng Lin","orcid":"https://orcid.org/0000-0001-8371-8197"},"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":"Chin-Teng Lin","raw_affiliation_strings":["Computational Intelligence and Brain Computer Interface Lab, GrapheneX-UTS HAI Centre, Australian AI Institute, SoCS, FEIT, University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8371-8197","affiliations":[{"raw_affiliation_string":"Computational Intelligence and Brain Computer Interface Lab, GrapheneX-UTS HAI Centre, Australian AI Institute, SoCS, FEIT, 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":3.0895,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.920072,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"9","issue":"2","first_page":"2065","last_page":"2072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9829000234603882,"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":0.9829000234603882,"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":0.9117000102996826,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6417622566223145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48434555530548096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2663067579269409}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6417622566223145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48434555530548096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2663067579269409}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3378603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3378603","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1287172568","display_name":"AI-Human Empowered Team Decision-Making","funder_award_id":"DP220100803","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G7009114323","display_name":"Brain Robot Interface for Physical Human Robot Collaboration","funder_award_id":"DP210101093","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1521624597","https://openalex.org/W1952771773","https://openalex.org/W1969014310","https://openalex.org/W2089497633","https://openalex.org/W2104167780","https://openalex.org/W2106510159","https://openalex.org/W2141245797","https://openalex.org/W2148143831","https://openalex.org/W2162833336","https://openalex.org/W2165835468","https://openalex.org/W2577114821","https://openalex.org/W2626931877","https://openalex.org/W2635535303","https://openalex.org/W2750867444","https://openalex.org/W2788251668","https://openalex.org/W2981001919","https://openalex.org/W2982673782","https://openalex.org/W3003229815","https://openalex.org/W3026191479","https://openalex.org/W3044063956","https://openalex.org/W3132426513","https://openalex.org/W3176947484","https://openalex.org/W3194216128","https://openalex.org/W4211194210","https://openalex.org/W4295996379","https://openalex.org/W4296985031","https://openalex.org/W4377079741","https://openalex.org/W4377293865","https://openalex.org/W6600363771","https://openalex.org/W6603855823","https://openalex.org/W6678914141","https://openalex.org/W6681503828","https://openalex.org/W6752070398"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Compared":[0],"to":[1],"traditional":[2],"centralized":[3,120],"clustering,":[4,96],"distributed":[5,36,60,65,75,115],"clustering":[6,22,37,61,67,104,116,121],"offers":[7],"the":[8,19,25,28,98,133,147,152,159],"advantage":[9],"of":[10,13,21,27,42,136,146,162,167],"parallel":[11],"processing":[12],"data":[14,29,72,89],"from":[15],"different":[16],"sites,":[17,78],"enhancing":[18],"efficiency":[20],"while":[23],"preserving":[24],"privacy":[26],"at":[30,91,139],"each":[31,92],"site.":[32],"However,":[33],"most":[34],"existing":[35],"techniques":[38,122],"require":[39],"manual":[40],"tuning":[41],"several":[43],"parameters":[44],"or":[45,73,126],"hyperparameters,":[46],"which":[47],"can":[48,156],"pose":[49],"challenges":[50],"for":[51],"practical":[52,176],"applications.":[53],"This":[54],"paper":[55],"introduces":[56],"a":[57,88],"novel":[58],"parameter-free":[59],"framework":[62],"known":[63],"as":[64],"torque":[66,95,107],"(DTC).":[68],"When":[69],"dealing":[70],"with":[71,105],"subdata":[74],"across":[76,150],"various":[77],"DTC":[79,111,137,155],"predominantly":[80],"executes":[81],"two":[82],"steps.":[83],"The":[84,129],"first":[85],"step":[86,100],"is":[87,138],"reduction":[90],"site":[93],"using":[94],"and":[97,118,175],"second":[99],"involves":[101],"performing":[102],"global":[103],"weighted":[106],"clustering.":[108],"We":[109],"compare":[110],"against":[112],"six":[113],"state-of-the-art":[114],"algorithms":[117,149],"automatic":[119],"on":[123],"ten":[124,168],"large-scale":[125],"medium-scale":[127],"datasets.":[128,153],"results":[130],"show":[131],"that":[132],"average":[134],"rank":[135],"least":[140],"three":[141],"times":[142],"better":[143],"than":[144],"those":[145],"other":[148],"all":[151],"Additionally,":[154],"accurately":[157],"predict":[158],"ground-truth":[160],"number":[161],"clusters":[163],"in":[164],"nine":[165],"out":[166],"datasets,":[169],"further":[170],"demonstrating":[171],"its":[172],"competitive":[173],"performance":[174],"potential.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
