{"id":"https://openalex.org/W2364820522","doi":null,"title":"Data Mining Clustering Algorithm","display_name":"Data Mining Clustering Algorithm","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2364820522","mag":"2364820522"},"language":"en","primary_location":{"id":"mag:2364820522","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-DNZS201416006.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764672140","display_name":"Computer Knowledge and Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Knowledge and Technology","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5011070885","display_name":"Zhao Xue-w","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210110718","display_name":"Nanyang Normal University","ror":"https://ror.org/01f7yer47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110718"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Xue-w","raw_affiliation_strings":["Software Collage in Nanyang Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Collage in Nanyang Normal University","institution_ids":["https://openalex.org/I4210110718"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011070885"],"corresponding_institution_ids":["https://openalex.org/I4210110718"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":1.0,"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":1.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/clustering-algorithms","display_name":"clustering algorithms","score":0.8230000138282776},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.9359999895095825},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"hierarchical clustering","score":0.996999979019165},{"id":"https://openalex.org/keywords/density-based-clustering","display_name":"density-based clustering","score":0.9990000128746033},{"id":"https://openalex.org/keywords/grid-based-clustering","display_name":"grid-based clustering","score":0.996999979019165},{"id":"https://openalex.org/keywords/nearest-neighbor-clustering","display_name":"nearest neighbor clustering","score":0.8709999918937683},{"id":"https://openalex.org/keywords/decision-support","display_name":"decision support","score":0.6639999747276306}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8640365600585938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8364870548248291},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7347641587257385},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.7283469438552856},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.705857515335083},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6595824956893921},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.6486458778381348},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5983314514160156},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4310623109340668},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4168017506599426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2868465185165405}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2364820522","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-DNZS201416006.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764672140","display_name":"Computer Knowledge and Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Computer Knowledge and Technology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2371368299","https://openalex.org/W2364081007","https://openalex.org/W4285234427","https://openalex.org/W4312397689","https://openalex.org/W2383632601","https://openalex.org/W4405499687","https://openalex.org/W7098266204","https://openalex.org/W2461138217","https://openalex.org/W2805894475","https://openalex.org/W2969723784"],"abstract_inverted_index":{"The":[0,122,137],"development":[1,150],"of":[2,9,25,54,79,125,139,151],"the":[3,7,77,80,92,98,105,112,140,147],"information":[4,28],"society":[5],"make":[6],"amount":[8],"data":[10,26,38,55,65],"growing":[11],"at":[12],"an":[13,135],"unprecedented":[14],"rate,":[15],"and":[16,27,31,56,104,111,117,149],"so":[17],"to":[18],"obtain":[19],"useful":[20],"knowledge":[21,50],"from":[22,51],"huge":[23],"amounts":[24,53],"becomes":[29],"more":[30,32],"important.":[33],"Data":[34],"mining":[35,66],"is":[36,67,72,130],"a":[37,68,74],"analysis":[39,62],"technique":[40],"formed":[41],"by":[42,134],"integrating":[43],"multi-domain":[44],"knowledge,":[45],"which":[46,71],"can":[47],"acquire":[48],"valuable":[49],"large":[52],"provide":[57],"support":[58],"for":[59,146],"decision.":[60],"Clustering":[61],"algorithm":[63,94,100,107,114,129],"in":[64,76,132],"core":[69],"content,":[70],"also":[73],"hotspot":[75],"research":[78,148],"current.":[81],"This":[82],"article":[83],"first":[84],"describes":[85],"commonly":[86],"used":[87],"clustering":[88,93,99,106,113,128,141],"algorithms":[89,142],"that":[90],"include":[91],"based":[95,101,108,115],"on":[96,102,109],"classification,":[97],"hierarchies":[103],"density":[110],"grid,":[116],"then":[118],"analyzes":[119],"their":[120],"characteristics.":[121],"operation":[123],"process":[124],"nearest":[126],"neighbor":[127],"illustrated":[131],"detail":[133],"example.":[136],"summary":[138],"has":[143],"positive":[144],"significance":[145],"clustering.":[152]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}
