{"id":"https://openalex.org/W1986614083","doi":"https://doi.org/10.1109/tit.1979.1056092","title":"The weighted nearest neighbor rule for class dependent sample sizes (Corresp.)","display_name":"The weighted nearest neighbor rule for class dependent sample sizes (Corresp.)","publication_year":1979,"publication_date":"1979-09-01","ids":{"openalex":"https://openalex.org/W1986614083","doi":"https://doi.org/10.1109/tit.1979.1056092","mag":"1986614083"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1979.1056092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1979.1056092","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/A5113883914","display_name":"Thomas D. Brown","orcid":"https://orcid.org/0000-0002-2123-1014"},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]},{"id":"https://openalex.org/I196883781","display_name":"Clarkson College","ror":"https://ror.org/03vkpnc84","country_code":"US","type":"education","lineage":["https://openalex.org/I196883781"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"T. Brown","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clarkson College of Technology, Potsdam, NY, USA","General Electric Company Limited, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clarkson College of Technology, Potsdam, NY, USA","institution_ids":["https://openalex.org/I196883781"]},{"raw_affiliation_string":"General Electric Company Limited, Syracuse, NY, USA","institution_ids":["https://openalex.org/I1332737386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109171605","display_name":"J. Koplowitz","orcid":null},"institutions":[{"id":"https://openalex.org/I196883781","display_name":"Clarkson College","ror":"https://ror.org/03vkpnc84","country_code":"US","type":"education","lineage":["https://openalex.org/I196883781"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Koplowitz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Clarkson College of Technology, Potsdam, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Clarkson College of Technology, Potsdam, NY, USA","institution_ids":["https://openalex.org/I196883781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113883914"],"corresponding_institution_ids":["https://openalex.org/I1332737386","https://openalex.org/I196883781"],"apc_list":null,"apc_paid":null,"fwci":2.6382,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.89808717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"25","issue":"5","first_page":"617","last_page":"619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9900000095367432,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9900000095367432,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.984000027179718,"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/class","display_name":"Class (philosophy)","score":0.5906814336776733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.430501788854599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4104389548301697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3591310381889343}],"concepts":[{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5906814336776733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.430501788854599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4104389548301697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3591310381889343}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1979.1056092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1979.1056092","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2140820381","https://openalex.org/W2768758646","https://openalex.org/W4285719527","https://openalex.org/W6745510308"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2911598644"],"abstract_inverted_index":{"The":[0,37],"nearest":[1,38],"neighbor":[2,39],"rule":[3,35,72],"is":[4,29,41,66],"considered":[5,42],"for":[6,43],"data":[7,44],"samples":[8,16,45,53],"obtained":[9,46],"by":[10,47],"selecting":[11,48],"<tex":[12,24,49,61,81,93,101],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[13,25,50,62,82,94,102],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N_{i}</tex>":[14,51,83],"independent":[15,52],"with":[17,54],"the":[18,55,75,78,85,92],"conditional":[19,56],"distribution":[20,57],"corresponding":[21,58],"to":[22,59,84],"class":[23,60,100],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">C_{i}</tex>":[26,63,103],".":[27,64,104],"It":[28,65],"shown":[30,67],"that":[31,68],"a":[32,69,96],"weighted":[33,70],"distance":[34,71],"can":[36,73],"nde":[40],"improve":[74],"performance":[76],"when":[77],"ratio":[79],"of":[80,99],"total":[86],"sample":[87],"size":[88],"differs":[89],"substantially":[90],"from":[91],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">{\\sl":[95],"priori}</tex>":[97],"probability":[98]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
