{"id":"https://openalex.org/W2162583212","doi":"https://doi.org/10.1109/tit.1975.1055464","title":"An algorithm for a selective nearest neighbor decision rule (Corresp.)","display_name":"An algorithm for a selective nearest neighbor decision rule (Corresp.)","publication_year":1975,"publication_date":"1975-11-01","ids":{"openalex":"https://openalex.org/W2162583212","doi":"https://doi.org/10.1109/tit.1975.1055464","mag":"2162583212"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1975.1055464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1975.1055464","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","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/A5004270448","display_name":"G. L. Ritter","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"G. Ritter","raw_affiliation_strings":["Department of Chemistry, North Carolina State University, Chapel Hill, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044931458","display_name":"H. B. Woodruff","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Woodruff","raw_affiliation_strings":["Department of Chemistry, North Carolina State University, Chapel Hill, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109226054","display_name":"S. R. Lowry","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Lowry","raw_affiliation_strings":["Department of Chemistry, North Carolina State University, Chapel Hill, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111597258","display_name":"T. L. Isenhour","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Isenhour","raw_affiliation_strings":["Department of Chemistry, North Carolina State University, Chapel Hill, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004270448"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":4.0713,"has_fulltext":false,"cited_by_count":326,"citation_normalized_percentile":{"value":0.93971292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"21","issue":"6","first_page":"665","last_page":"669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.998199999332428,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.998199999332428,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9932000041007996,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.8361692428588867},{"id":"https://openalex.org/keywords/nearest-neighbor-chain-algorithm","display_name":"Nearest-neighbor chain algorithm","score":0.7974190711975098},{"id":"https://openalex.org/keywords/best-bin-first","display_name":"Best bin first","score":0.5985993146896362},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5850675702095032},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5836551189422607},{"id":"https://openalex.org/keywords/large-margin-nearest-neighbor","display_name":"Large margin nearest neighbor","score":0.5457122325897217},{"id":"https://openalex.org/keywords/nearest-neighbor-graph","display_name":"Nearest neighbor graph","score":0.5366095900535583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4980924129486084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4758738577365875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4701578617095947},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4653260409832001},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.45453742146492004},{"id":"https://openalex.org/keywords/fixed-radius-near-neighbors","display_name":"Fixed-radius near neighbors","score":0.4136416018009186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4058800935745239},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3156609833240509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31461042165756226},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.07949012517929077}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.8361692428588867},{"id":"https://openalex.org/C102164700","wikidata":"https://www.wikidata.org/wiki/Q17162702","display_name":"Nearest-neighbor chain algorithm","level":5,"score":0.7974190711975098},{"id":"https://openalex.org/C161986146","wikidata":"https://www.wikidata.org/wiki/Q4896845","display_name":"Best bin first","level":3,"score":0.5985993146896362},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5850675702095032},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5836551189422607},{"id":"https://openalex.org/C94475309","wikidata":"https://www.wikidata.org/wiki/Q6489154","display_name":"Large margin nearest neighbor","level":3,"score":0.5457122325897217},{"id":"https://openalex.org/C90988772","wikidata":"https://www.wikidata.org/wiki/Q2855103","display_name":"Nearest neighbor graph","level":3,"score":0.5366095900535583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4980924129486084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4758738577365875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4701578617095947},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4653260409832001},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.45453742146492004},{"id":"https://openalex.org/C46264003","wikidata":"https://www.wikidata.org/wiki/Q5456333","display_name":"Fixed-radius near neighbors","level":5,"score":0.4136416018009186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4058800935745239},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3156609833240509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31461042165756226},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.07949012517929077},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1975.1055464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1975.1055464","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"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 Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1994410331","https://openalex.org/W2044523229","https://openalex.org/W2050913223","https://openalex.org/W2098631313","https://openalex.org/W2107686700","https://openalex.org/W2122111042","https://openalex.org/W2136333413","https://openalex.org/W2330576084","https://openalex.org/W4256561644"],"related_works":["https://openalex.org/W2182477562","https://openalex.org/W2375128115","https://openalex.org/W2351157934","https://openalex.org/W1595303882","https://openalex.org/W1558159560","https://openalex.org/W4246757943","https://openalex.org/W2795392346","https://openalex.org/W2969538544","https://openalex.org/W325985789","https://openalex.org/W2526367648"],"abstract_inverted_index":{"A":[0],"procedure":[1],"is":[2,26,39,58],"introduced":[3],"to":[4,47],"approximate":[5],"nearest":[6,36],"neighbor":[7,38],"(INN)":[8],"decision":[9],"boundaries.":[10],"The":[11],"algorithm":[12],"produces":[13],"a":[14],"selective":[15,37],"subset":[16,25,57],"of":[17,50],"the":[18,24,29,42,45,51,56,59],"original":[19],"data":[20],"so":[21],"that":[22],"1)":[23],"consistent,":[27],"2)":[28],"distance":[30,43],"between":[31],"any":[32,48],"sample":[33,46,49],"and":[34,54],"its":[35],"less":[40],"than":[41],"from":[44],"other":[52],"class,":[53],"3)":[55],"smallest":[60],"possible.":[61]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":25},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":16}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}