{"id":"https://openalex.org/W2098006457","doi":"https://doi.org/10.1145/1553374.1553485","title":"Nearest neighbors in high-dimensional data","display_name":"Nearest neighbors in high-dimensional data","publication_year":2009,"publication_date":"2009-06-14","ids":{"openalex":"https://openalex.org/W2098006457","doi":"https://doi.org/10.1145/1553374.1553485","mag":"2098006457"},"language":"en","primary_location":{"id":"doi:10.1145/1553374.1553485","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-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/A5025192310","display_name":"Milo\u0161 Radovanovi\u0107","orcid":"https://orcid.org/0000-0003-2225-7803"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Milo\u0161 Radovanovi\u0107","raw_affiliation_strings":["University of Novi Sad, Novi Sad, Serbia","University of Novi Sad , Novi Sad , Serbia"],"affiliations":[{"raw_affiliation_string":"University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"University of Novi Sad , Novi Sad , Serbia","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108354882","display_name":"\u0391\u03bb\u03ad\u03be\u03b1\u03bd\u03b4\u03c1\u03bf\u03c2 \u039d\u03b1\u03bd\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2","orcid":"https://orcid.org/0009-0008-0515-7230"},"institutions":[{"id":"https://openalex.org/I155765044","display_name":"University of Hildesheim","ror":"https://ror.org/02f9det96","country_code":"DE","type":"education","lineage":["https://openalex.org/I155765044"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexandros Nanopoulos","raw_affiliation_strings":["University of Hildesheim, Hildesheim, Germany"],"affiliations":[{"raw_affiliation_string":"University of Hildesheim, Hildesheim, Germany","institution_ids":["https://openalex.org/I155765044"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000856508","display_name":"Mirjana Ivanovi\u0107","orcid":"https://orcid.org/0000-0003-1946-0384"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Mirjana Ivanovi\u0107","raw_affiliation_strings":["University of Novi Sad, Novi Sad, Serbia","University of Novi Sad , Novi Sad , Serbia"],"affiliations":[{"raw_affiliation_string":"University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"University of Novi Sad , Novi Sad , Serbia","institution_ids":["https://openalex.org/I170726198"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025192310"],"corresponding_institution_ids":["https://openalex.org/I170726198"],"apc_list":null,"apc_paid":null,"fwci":8.4128,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.9797761,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"865","last_page":"872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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":0.998199999332428,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9951000213623047,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9932000041007996,"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/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.9146349430084229},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6848383545875549},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.601714015007019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5618612170219421},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5446367859840393},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49615034461021423},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4678020775318146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45954933762550354},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4586704969406128},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.45620888471603394},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4263330101966858},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4181174337863922},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.344829261302948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3279803991317749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3227669596672058}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.9146349430084229},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6848383545875549},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.601714015007019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5618612170219421},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5446367859840393},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49615034461021423},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4678020775318146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45954933762550354},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4586704969406128},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.45620888471603394},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4263330101966858},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4181174337863922},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.344829261302948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3279803991317749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3227669596672058},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1553374.1553485","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1553374.1553485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Annual International Conference on Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W93922237","https://openalex.org/W1479807131","https://openalex.org/W1506806321","https://openalex.org/W1533303231","https://openalex.org/W1565377632","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1672197616","https://openalex.org/W1938740620","https://openalex.org/W2008908114","https://openalex.org/W2056022166","https://openalex.org/W2128302979","https://openalex.org/W2136846911","https://openalex.org/W2157169955","https://openalex.org/W2165533158","https://openalex.org/W2168532736","https://openalex.org/W2171009857","https://openalex.org/W2323877013","https://openalex.org/W2482589566","https://openalex.org/W2728217542","https://openalex.org/W4312512934","https://openalex.org/W6629510986","https://openalex.org/W6633894697"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W4362679532","https://openalex.org/W2104708299","https://openalex.org/W2021227444","https://openalex.org/W2745792676","https://openalex.org/W2333793080","https://openalex.org/W4206278474"],"abstract_inverted_index":{"High":[0],"dimensionality":[1,57],"can":[2],"pose":[3],"severe":[4],"difficulties,":[5],"widely":[6],"recognized":[7],"as":[8,56],"different":[9],"aspects":[10],"of":[11,14,24,31,36,46,77,87],"the":[12,25,29,34,42,75],"curse":[13,26],"dimensionality.":[15],"In":[16],"this":[17,59,78],"paper":[18],"we":[19],"study":[20],"a":[21,38,50],"new":[22],"aspect":[23],"pertaining":[27],"to":[28],"distribution":[30,60],"k-occurrences,":[32],"i.e.,":[33],"number":[35],"times":[37],"point":[39],"appears":[40],"among":[41],"k":[43],"nearest":[44],"neighbors":[45],"other":[47],"points":[48,66],"in":[49,101],"data":[51],"set.":[52],"We":[53,73],"show":[54],"that,":[55],"increases,":[58],"becomes":[61],"considerably":[62],"skewed":[63],"and":[64,91,107],"hub":[65],"emerge":[67],"(points":[68],"with":[69],"very":[70],"high":[71],"k-occurrences).":[72],"examine":[74],"origin":[76],"phenomenon,":[79],"showing":[80],"that":[81],"it":[82],"is":[83],"an":[84],"inherent":[85],"property":[86],"high-dimensional":[88],"vector":[89,102],"space,":[90],"explore":[92],"its":[93],"influence":[94],"on":[95,98],"applications":[96],"based":[97],"measuring":[99],"distances":[100],"spaces,":[103],"notably":[104],"classification,":[105],"clustering,":[106],"information":[108],"retrieval.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
