{"id":"https://openalex.org/W192133628","doi":"https://doi.org/10.1007/978-3-642-30341-8_17","title":"Determining Cosine Similarity Neighborhoods by Means of the Euclidean Distance","display_name":"Determining Cosine Similarity Neighborhoods by Means of the Euclidean Distance","publication_year":2012,"publication_date":"2012-08-13","ids":{"openalex":"https://openalex.org/W192133628","doi":"https://doi.org/10.1007/978-3-642-30341-8_17","mag":"192133628"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-30341-8_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-30341-8_17","pdf_url":null,"source":{"id":"https://openalex.org/S4210212400","display_name":"Intelligent systems reference library","issn_l":"1868-4394","issn":["1868-4394","1868-4408"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Systems Reference Library","raw_type":"book-chapter"},"type":"book-chapter","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/A5076693617","display_name":"Marzena Kryszkiewicz","orcid":"https://orcid.org/0000-0003-4736-4031"},"institutions":[{"id":"https://openalex.org/I4210087266","display_name":"Institute of Computer Science","ror":"https://ror.org/003fvp964","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210087266","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Marzena Kryszkiewicz","raw_affiliation_strings":["Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland","[Warsaw University of Technology]"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487","https://openalex.org/I4210087266"]},{"raw_affiliation_string":"[Warsaw University of Technology]","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076693617"],"corresponding_institution_ids":["https://openalex.org/I108403487","https://openalex.org/I4210087266"],"apc_list":null,"apc_paid":null,"fwci":0.4768,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69820622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/T11106","display_name":"Data Management and Algorithms","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9965999722480774,"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/cosine-similarity","display_name":"Cosine similarity","score":0.8182709217071533},{"id":"https://openalex.org/keywords/triangle-inequality","display_name":"Triangle inequality","score":0.8033772706985474},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.7265173196792603},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7205065488815308},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.6469249725341797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6417273879051208},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5839818120002747},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5649110674858093},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5588182210922241},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5529522895812988},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5488933324813843},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5012984275817871},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4780735969543457},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4750226140022278},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.41486412286758423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3802500069141388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.292208194732666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2695653438568115},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2155551314353943},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11675465106964111},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09531685709953308},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.056338340044021606}],"concepts":[{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.8182709217071533},{"id":"https://openalex.org/C182964748","wikidata":"https://www.wikidata.org/wiki/Q208216","display_name":"Triangle inequality","level":2,"score":0.8033772706985474},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.7265173196792603},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7205065488815308},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.6469249725341797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6417273879051208},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5839818120002747},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5649110674858093},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5588182210922241},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5529522895812988},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5488933324813843},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5012984275817871},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4780735969543457},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4750226140022278},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.41486412286758423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3802500069141388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.292208194732666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2695653438568115},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2155551314353943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11675465106964111},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09531685709953308},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.056338340044021606},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-30341-8_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-30341-8_17","pdf_url":null,"source":{"id":"https://openalex.org/S4210212400","display_name":"Intelligent systems reference library","issn_l":"1868-4394","issn":["1868-4394","1868-4408"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Systems Reference Library","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1511484508","https://openalex.org/W1545843235","https://openalex.org/W1574574084","https://openalex.org/W1673310716","https://openalex.org/W1859864292","https://openalex.org/W2118269922","https://openalex.org/W2138064700","https://openalex.org/W2165612380","https://openalex.org/W2171852577","https://openalex.org/W2500062327","https://openalex.org/W2504410676","https://openalex.org/W2591957553","https://openalex.org/W4242599275"],"related_works":["https://openalex.org/W1720325191","https://openalex.org/W57923944","https://openalex.org/W2284045667","https://openalex.org/W2116487896","https://openalex.org/W2056226831","https://openalex.org/W1598081081","https://openalex.org/W1823511492","https://openalex.org/W2981287881","https://openalex.org/W3180954388","https://openalex.org/W2052451333"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
