{"id":"https://openalex.org/W2394429755","doi":null,"title":"Clustering Algorithm in Data Mining","display_name":"Clustering Algorithm in Data Mining","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2394429755","mag":"2394429755"},"language":"en","primary_location":{"id":"mag:2394429755","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZNGB200401014.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764432002","display_name":"Journal of Central-south Institute of Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Central-south Institute of 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/A5036071138","display_name":"Meihua Wang","orcid":"https://orcid.org/0000-0003-3727-1552","observed_orcids":["https://orcid.org/0000-0003-3727-1552"]},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meihua Wang","raw_affiliation_strings":["School of Information, South China Argicultural University,Guangzhou,Guangdong 510642)"],"raw_orcid":"https://orcid.org/0000-0003-3727-1552","affiliations":[{"raw_affiliation_string":"School of Information, South China Argicultural University,Guangzhou,Guangdong 510642)","institution_ids":["https://openalex.org/I101479585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036071138"],"corresponding_institution_ids":["https://openalex.org/I101479585"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.0003000000142492354,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clustering-algorithms","display_name":"clustering algorithms","score":0.996999979019165},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.8679999709129333},{"id":"https://openalex.org/keywords/algorithm-comparison","display_name":"algorithm comparison","score":0.7480000257492065}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8888728618621826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7719835042953491},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.7158039808273315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102290391921997},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.6637023687362671},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5541900992393494},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5308001637458801},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43917179107666016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3959009647369385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2509373426437378},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2394429755","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZNGB200401014.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764432002","display_name":"Journal of Central-south Institute of Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Central-south Institute of 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/W2387405106","https://openalex.org/W2376783642","https://openalex.org/W2389288792","https://openalex.org/W2393163137","https://openalex.org/W1578727752","https://openalex.org/W7216803371","https://openalex.org/W2371866630","https://openalex.org/W2269349325","https://openalex.org/W2805894475","https://openalex.org/W2380296084"],"abstract_inverted_index":{"Clustering":[0],"algorithm":[1,38,49],"is":[2],"the":[3,23,34,51,59],"key":[4],"technology":[5],"in":[6,39,69],"data":[7,24,40],"mining.":[8,41],"Along":[9],"with":[10],"extensive":[11],"and":[12,56,62],"in-depth":[13],"research":[14],"of":[15,18,33,36],"it,":[16],"lots":[17],"different":[19],"methods":[20,67],"applicable":[21],"to":[22,44],"mining":[25],"has":[26],"emerged.":[27],"The":[28],"article":[29,60],"provides":[30],"a":[31,47],"survey":[32],"application":[35],"clustering":[37,48],"In":[42],"order":[43],"find":[45],"out":[46],"for":[50],"particular":[52],"problem":[53],"more":[54,57],"easily":[55],"fast,":[58],"compares":[61],"analyzes":[63],"some":[64],"commonly":[65],"used":[66],"advanced":[68],"recent":[70],"years,":[71],"based":[72],"on":[73],"8":[74],"evaluate":[75],"standards.":[76]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}