{"id":"https://openalex.org/W2150708814","doi":"https://doi.org/10.1093/comjnl/bxr131","title":"A Local Mean-Based k-Nearest Centroid Neighbor Classifier","display_name":"A Local Mean-Based k-Nearest Centroid Neighbor Classifier","publication_year":2012,"publication_date":"2012-01-05","ids":{"openalex":"https://openalex.org/W2150708814","doi":"https://doi.org/10.1093/comjnl/bxr131","mag":"2150708814"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxr131","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxr131","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5042645332","display_name":"Jianping Gou","orcid":"https://orcid.org/0000-0003-1413-0693"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"J. Gou","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388188","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-5867-9322"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Z. Yi","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu 610065, P.R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu 610065, P.R. China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021845515","display_name":"Lan Du","orcid":"https://orcid.org/0000-0002-9925-0223"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"L. Du","raw_affiliation_strings":["College of Engineering and Computer Science, The Australian National University, Canberra 2601, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, The Australian National University, Canberra 2601, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083680496","display_name":"Tao Xiong","orcid":"https://orcid.org/0000-0002-9773-649X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"T. Xiong","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P.R. China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042645332"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":4.1656,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.94970103,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"55","issue":"9","first_page":"1058","last_page":"1071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9987000226974487,"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":0.9952999949455261,"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/centroid","display_name":"Centroid","score":0.8772289752960205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8161383867263794},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.7472349405288696},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7165530323982239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6111037135124207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5669988989830017},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.4776650369167328},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4366982877254486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3378940522670746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33598053455352783}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8772289752960205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8161383867263794},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.7472349405288696},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7165530323982239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6111037135124207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5669988989830017},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.4776650369167328},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4366982877254486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3378940522670746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33598053455352783}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1093/comjnl/bxr131","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxr131","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1023.5476","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1023.5476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://comjnl.oxfordjournals.org/content/55/9/1058.full.pdf","raw_type":"text"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/68193","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/68193","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The Computer Journal","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1621067362","https://openalex.org/W1967320885","https://openalex.org/W1973857262","https://openalex.org/W1975052317","https://openalex.org/W2022479766","https://openalex.org/W2037851654","https://openalex.org/W2062957446","https://openalex.org/W2090449701","https://openalex.org/W2095306443","https://openalex.org/W2102866896","https://openalex.org/W2105152330","https://openalex.org/W2112810953","https://openalex.org/W2122111042","https://openalex.org/W2135346934","https://openalex.org/W2144740186","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W2148008870","https://openalex.org/W2381195555","https://openalex.org/W2499112530","https://openalex.org/W4246757943","https://openalex.org/W2368606575","https://openalex.org/W2362413895","https://openalex.org/W4283655540","https://openalex.org/W2151191523","https://openalex.org/W2132753198","https://openalex.org/W2369874856"],"abstract_inverted_index":{"K-nearest":[0],"neighbor":[1,23],"(KNN)":[2],"rule":[3],"is":[4,100],"a":[5,18,31,84,97],"simple":[6],"and":[7,57,128],"effective":[8],"algorithm":[9],"in":[10,76,132,149],"pattern":[11,30,99],"classification.":[12],"In":[13,80,110],"this":[14],"article,":[15],"we":[16,121],"propose":[17],"local":[19,36,67,85],"mean-based":[20],"k-nearest":[21],"centroid":[22,37,91],"classifier":[24],"that":[25,141],"assigns":[26],"to":[27,42,103,112],"each":[28,74,94],"query":[29,98],"class":[32,75,95,107],"label":[33],"with":[34,156],"nearest":[35,90],"mean":[38,68,86],"vector":[39,69,87],"so":[40],"as":[41],"improve":[43],"the":[44,55,66,81,106,114,118,126,135,150,157],"classification":[45,78,115,136],"performance.":[46],"The":[47],"proposed":[48,82,119,143],"scheme":[49],"not":[50],"only":[51],"takes":[52],"into":[53],"account":[54],"proximity":[56],"spatial":[58],"distribution":[59,108],"of":[60,70,88,117,134],"k":[61,71,89],"neighbors,":[62],"but":[63],"also":[64],"utilizes":[65],"neighbors":[72,92],"from":[73,93],"making":[77],"decision.":[79],"classifier,":[83,120],"for":[96],"well":[101],"positioned":[102],"sufficiently":[104],"capture":[105],"information.":[109],"order":[111],"investigate":[113],"behavior":[116],"conduct":[122],"extensive":[123],"experiments":[124],"on":[125],"real":[127],"synthetic":[129],"data":[130],"sets":[131],"terms":[133],"error.":[137],"Experimental":[138],"results":[139],"demonstrate":[140],"our":[142],"method":[144],"performs":[145],"significantly":[146],"well,":[147],"particularly":[148],"small":[151],"sample":[152],"size":[153],"cases,":[154],"compared":[155],"state-of-the-art":[158],"KNN-based":[159],"algorithms.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
