{"id":"https://openalex.org/W4293055413","doi":"https://doi.org/10.1080/03610918.2022.2091779","title":"Trimmed scores regression for <i>k</i> -means clustering data with high-missing ratio","display_name":"Trimmed scores regression for <i>k</i> -means clustering data with high-missing ratio","publication_year":2022,"publication_date":"2022-06-27","ids":{"openalex":"https://openalex.org/W4293055413","doi":"https://doi.org/10.1080/03610918.2022.2091779"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2091779","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2091779","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5054220910","display_name":"Guangbao Guo","orcid":"https://orcid.org/0000-0002-4115-6218"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangbao Guo","raw_affiliation_strings":["School of Mathematics and Statistics, Shandong University of Technology, Zibo, China"],"raw_orcid":"https://orcid.org/0000-0002-4115-6218","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006017259","display_name":"Ruiling Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiling Niu","raw_affiliation_strings":["School of Mathematics and Statistics, Shandong University of Technology, Zibo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032763896","display_name":"Guoqi Qian","orcid":"https://orcid.org/0000-0003-3818-0564"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guoqi Qian","raw_affiliation_strings":["School of Mathematics and Statistics, The University of Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, The University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043165575","display_name":"Haoyue Song","orcid":null},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyue Song","raw_affiliation_strings":["School of Mathematics and Statistics, Shandong University of Technology, Zibo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100771170","display_name":"Tao L\u00fc","orcid":"https://orcid.org/0000-0001-5385-1034"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lu","raw_affiliation_strings":["School of Mathematics and Statistics, Shandong University of Technology, Zibo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054220910"],"corresponding_institution_ids":["https://openalex.org/I119203015"],"apc_list":null,"apc_paid":null,"fwci":0.9711,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79714896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"53","issue":"6","first_page":"2805","last_page":"2821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9927999973297119,"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":0.9927999973297119,"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":0.9886000156402588,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.8674519062042236},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7773277759552002},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7176697254180908},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5955798625946045},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5926643013954163},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5155611038208008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5011684894561768},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4419935941696167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4231563210487366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34962016344070435}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8674519062042236},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7773277759552002},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7176697254180908},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5955798625946045},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5926643013954163},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5155611038208008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5011684894561768},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4419935941696167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4231563210487366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34962016344070435}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2091779","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2091779","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2328657276","display_name":null,"funder_award_id":"ID ZR2020MA022","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1966469525","https://openalex.org/W1982755001","https://openalex.org/W2014617332","https://openalex.org/W2015439533","https://openalex.org/W2066898809","https://openalex.org/W2075103606","https://openalex.org/W2079616103","https://openalex.org/W2096863518","https://openalex.org/W2106735775","https://openalex.org/W2109194254","https://openalex.org/W2109204369","https://openalex.org/W2111104102","https://openalex.org/W2119253710","https://openalex.org/W2128215982","https://openalex.org/W2145187524","https://openalex.org/W2147246240","https://openalex.org/W2151092853","https://openalex.org/W2163874082","https://openalex.org/W2191264216","https://openalex.org/W2417774000","https://openalex.org/W2470282262","https://openalex.org/W2519010239","https://openalex.org/W2784910599","https://openalex.org/W2950069687","https://openalex.org/W4254627594"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Data":[0],"sets":[1],"with":[2,20,30,44,95,113,122,126],"missing":[3,22,32],"values":[4],"bring":[5],"great":[6,73],"challenges":[7],"to":[8,62,93],"k-means":[9,123],"clustering":[10,77,85],"(KMC).":[11],"At":[12],"present,":[13],"most":[14],"studies":[15,26],"focus":[16],"on":[17,27,75],"KMC":[18,28,46],"data":[19,29],"low":[21],"ratio":[23],"while":[24],"few":[25],"high":[31],"ratio.":[33],"The":[34],"current":[35],"imputation":[36,52,65,69,91,107,128],"methods":[37,129],"have":[38,71],"the":[39,45,49,63,68,76,81,84,96,133],"following":[40],"problems":[41],"when":[42],"dealing":[43],"data:":[47],"(1)":[48],"error":[50],"between":[51],"value":[53,57],"and":[54,118],"original":[55],"true":[56],"is":[58],"large,":[59],"which":[60,79,104],"leads":[61],"poor":[64],"precision;":[66],"(2)":[67],"results":[70],"a":[72,89,110,114,119],"influence":[74],"results,":[78],"reduce":[80],"accuracies":[82],"of":[83],"results.":[86],"We":[87],"propose":[88],"novel":[90,120],"method,":[92],"deal":[94],"problems,":[97],"called":[98],"as":[99],"trimmed":[100,115],"scores":[101],"regression":[102,111],"(TSR),":[103],"obtains":[105],"an":[106],"estimator":[108],"from":[109],"equation":[112],"score":[116],"matrix,":[117],"cluster":[121],"method.":[124],"Compared":[125],"other":[127],"in":[130],"numerical":[131],"analysis,":[132],"TSR":[134],"method":[135],"exhibits":[136],"better":[137],"performance.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
