{"id":"https://openalex.org/W4390275071","doi":"https://doi.org/10.1142/s0218126624501846","title":"Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization","display_name":"Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4390275071","doi":"https://doi.org/10.1142/s0218126624501846"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126624501846","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0218126624501846","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","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/A5064452617","display_name":"Difei Cheng","orcid":"https://orcid.org/0009-0009-1734-5244"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Difei Cheng","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China"],"raw_orcid":"https://orcid.org/0009-0009-1734-5244","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410998","display_name":"Yunfeng Zhang","orcid":"https://orcid.org/0000-0002-1237-6035"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfeng Zhang","raw_affiliation_strings":["Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, P. R. China","institution_ids":["https://openalex.org/I4210120485","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078221177","display_name":"Ruinan Jin","orcid":"https://orcid.org/0009-0008-7585-8534"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruinan Jin","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen 518172, P. R. China"],"raw_orcid":"https://orcid.org/0009-0008-7585-8534","affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen 518172, P. R. China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1586,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56475747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9569000005722046,"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":0.9569000005722046,"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":0.9186000227928162,"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/seeding","display_name":"Seeding","score":0.937758207321167},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7456908822059631},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5753822922706604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4971921741962433},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.4401411712169647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29807019233703613},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1951293647289276},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.0766419768333435},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05043137073516846}],"concepts":[{"id":"https://openalex.org/C36248471","wikidata":"https://www.wikidata.org/wiki/Q7445669","display_name":"Seeding","level":2,"score":0.937758207321167},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7456908822059631},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5753822922706604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4971921741962433},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.4401411712169647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29807019233703613},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1951293647289276},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0766419768333435},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05043137073516846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126624501846","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1142/s0218126624501846","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1967349811","https://openalex.org/W1979607399","https://openalex.org/W1997527287","https://openalex.org/W2068959699","https://openalex.org/W2073849744","https://openalex.org/W2074629962","https://openalex.org/W2083620785","https://openalex.org/W2117067575","https://openalex.org/W2125836634","https://openalex.org/W2126626732","https://openalex.org/W2140405352","https://openalex.org/W2155042468","https://openalex.org/W2165835468","https://openalex.org/W2603986758","https://openalex.org/W2740924709","https://openalex.org/W2758138366","https://openalex.org/W2765811365","https://openalex.org/W2898420170","https://openalex.org/W2940320374","https://openalex.org/W2962963658","https://openalex.org/W3012123778","https://openalex.org/W3035122597","https://openalex.org/W3096831136","https://openalex.org/W4285612485","https://openalex.org/W4293198324","https://openalex.org/W4298882835","https://openalex.org/W4310494058","https://openalex.org/W4312959111","https://openalex.org/W4321766506"],"related_works":["https://openalex.org/W2381376135","https://openalex.org/W2390267673","https://openalex.org/W2944865571","https://openalex.org/W2120258591","https://openalex.org/W2378227553","https://openalex.org/W1584028106","https://openalex.org/W2113424041","https://openalex.org/W2385548616","https://openalex.org/W4313193953","https://openalex.org/W4225635660"],"abstract_inverted_index":{"[Formula:":[0,9,26,46,63,114,121,149],"see":[1,10,27,47,64,115,122,150,199],"text]-medoids":[2,28,48,65,116],"clustering":[3,12,29,49,117,168,205,210],"is":[4,30,55,181],"a":[5,81,112,129,145],"popular":[6],"variant":[7],"of":[8,25,80,83,159,212],"text]-means":[11],"and":[13,19,92,147,170,223],"widely":[14],"used":[15],"in":[16,41,162],"pattern":[17],"recognition":[18],"machine":[20],"learning.":[21],"A":[22],"main":[23],"drawback":[24],"that":[31,230],"an":[32,103,193],"improper":[33],"initialization":[34,61],"can":[35,171],"cause":[36],"it":[37,94],"to":[38,58,62,70,134],"get":[39],"trapped":[40],"local":[42],"optima.":[43],"An":[44],"improved":[45,194],"algorithm,":[50,53,118,125,165,196],"called":[51,119,197],"INCKM":[52,75,164],"which":[54,126,202],"the":[56,78,157,163,167,178,204,209,213,231,236],"first":[57],"apply":[59],"incremental":[60,120,131],"clustering,":[66],"was":[67],"recently":[68],"proposed":[69,232],"overcome":[71],"this":[72,108],"drawback.":[73],"The":[74,153],"algorithm":[76,155,180,201],"requires":[77],"construction":[79],"subset":[82],"candidate":[84],"medoids":[85],"determined":[86],"by":[87],"one":[88,137],"hyperparameter":[89,105,160],"for":[90],"initialization,":[91],"meanwhile,":[93],"always":[95],"fails":[96],"when":[97],"dealing":[98],"with":[99,102,128,173,188],"imbalanced":[100,174,227],"datasets":[101,175],"incorrect":[104],"selection.":[106],"In":[107],"paper,":[109],"we":[110,190],"propose":[111,192],"novel":[113,130],"text]-means++":[123,151],"(INCKPP)":[124],"initializes":[127],"manner,":[132],"attempting":[133],"optimally":[135],"add":[136],"new":[138],"cluster":[139],"center":[140],"at":[141],"each":[142],"stage":[143],"through":[144],"non-parametric":[146],"stochastic":[148],"initialization.":[152],"INCKPP":[154,179,195,214],"overcomes":[156],"difficulty":[158],"selection":[161],"improves":[166,203],"performance,":[169],"deal":[172,187],"well.":[176],"However,":[177],"not":[182],"computationally":[183],"efficient":[184],"enough.":[185],"To":[186],"this,":[189],"further":[191],"INCKPP[Formula:":[198],"text]":[200],"efficiency":[206],"while":[207],"maintaining":[208],"performance":[211],"algorithm.":[215],"Extensive":[216],"results":[217],"from":[218],"experiments":[219],"on":[220],"both":[221],"synthetic":[222],"real-world":[224],"datasets,":[225,228],"including":[226],"illustrate":[229],"algorithms":[233],"outperforms":[234],"than":[235],"other":[237],"compared":[238],"algorithms.":[239]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}