{"id":"https://openalex.org/W1491887076","doi":"https://doi.org/10.1007/11540007_60","title":"High-Dimensional Shared Nearest Neighbor Clustering Algorithm","display_name":"High-Dimensional Shared Nearest Neighbor Clustering Algorithm","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1491887076","doi":"https://doi.org/10.1007/11540007_60","mag":"1491887076"},"language":"en","primary_location":{"id":"doi:10.1007/11540007_60","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11540007_60","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5047679328","display_name":"Jian Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jian Yin","raw_affiliation_strings":["Zhongshan University, Guangdong, 510275, P.R. China"],"affiliations":[{"raw_affiliation_string":"Zhongshan University, Guangdong, 510275, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066539105","display_name":"Xian-Li Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianli Fan","raw_affiliation_strings":["Zhongshan University, Guangdong, 510275, P.R. China"],"affiliations":[{"raw_affiliation_string":"Zhongshan University, Guangdong, 510275, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674347","display_name":"Yiqun Chen","orcid":"https://orcid.org/0000-0003-0672-9217"},"institutions":[{"id":"https://openalex.org/I32246829","display_name":"Guangdong University of Education","ror":"https://ror.org/0574der91","country_code":"CN","type":"education","lineage":["https://openalex.org/I32246829"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqun Chen","raw_affiliation_strings":["Guangdong Institute of Education, Guangdong, P.R. China","Zhongshan University, Guangdong, 510275, P.R. China"],"affiliations":[{"raw_affiliation_string":"Guangdong Institute of Education, Guangdong, P.R. China","institution_ids":["https://openalex.org/I32246829"]},{"raw_affiliation_string":"Zhongshan University, Guangdong, 510275, P.R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071759737","display_name":"Jiangtao Ren","orcid":"https://orcid.org/0000-0003-2827-8322"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiangtao Ren","raw_affiliation_strings":["Zhongshan University, Guangdong, 510275, P.R. China"],"affiliations":[{"raw_affiliation_string":"Zhongshan University, Guangdong, 510275, P.R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047679328"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.06089036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"494","last_page":"502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9975000023841858,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9975000023841858,"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/T11106","display_name":"Data Management and Algorithms","score":0.9943000078201294,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nearest-neighbor-chain-algorithm","display_name":"Nearest-neighbor chain algorithm","score":0.8162922859191895},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7494488954544067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6302894353866577},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5598741173744202},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5468102097511292},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.5238509178161621},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.522864818572998},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4957207441329956},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.48729050159454346},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4688469171524048},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4674552083015442},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44443267583847046},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.44163796305656433},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4354203939437866},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.426441490650177},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.420086532831192},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3801783323287964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30407822132110596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25237542390823364},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06356632709503174}],"concepts":[{"id":"https://openalex.org/C102164700","wikidata":"https://www.wikidata.org/wiki/Q17162702","display_name":"Nearest-neighbor chain algorithm","level":5,"score":0.8162922859191895},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7494488954544067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6302894353866577},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5598741173744202},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5468102097511292},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.5238509178161621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.522864818572998},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4957207441329956},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.48729050159454346},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4688469171524048},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4674552083015442},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44443267583847046},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.44163796305656433},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4354203939437866},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.426441490650177},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.420086532831192},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3801783323287964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30407822132110596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25237542390823364},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06356632709503174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11540007_60","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11540007_60","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6299999952316284,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W80917968","https://openalex.org/W138516011","https://openalex.org/W1522930108","https://openalex.org/W1545302662","https://openalex.org/W1565526643","https://openalex.org/W1566480186","https://openalex.org/W1988315601","https://openalex.org/W2114599562","https://openalex.org/W2124536999","https://openalex.org/W2131687179","https://openalex.org/W2732275699","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2394193399","https://openalex.org/W2054669762","https://openalex.org/W2809859387","https://openalex.org/W2360225591","https://openalex.org/W2355615404","https://openalex.org/W2014841791","https://openalex.org/W2387373525","https://openalex.org/W2353158678","https://openalex.org/W2374506950","https://openalex.org/W2381835990"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}