{"id":"https://openalex.org/W2890068609","doi":"https://doi.org/10.1109/cscwd.2018.8465344","title":"Effective and Optimal Clustering Based on New Clustering Validity Index","display_name":"Effective and Optimal Clustering Based on New Clustering Validity Index","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2890068609","doi":"https://doi.org/10.1109/cscwd.2018.8465344","mag":"2890068609"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd.2018.8465344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2018.8465344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD))","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103145100","display_name":"Erzhou Zhu","orcid":"https://orcid.org/0000-0003-4965-6679"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erzhou Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432656","display_name":"Peng Li","orcid":"https://orcid.org/0000-0002-0574-3044"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042938115","display_name":"Zhujuan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhujuan Ma","raw_affiliation_strings":["School of Economics and Technology, Anhui Agriculture University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Technology, Anhui Agriculture University, Hefei, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029473790","display_name":"Xuejun Li","orcid":"https://orcid.org/0000-0001-6630-2958"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejun Li","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001956517","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0001-6224-5167"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"529","last_page":"534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.996399998664856,"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":0.996399998664856,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9695000052452087,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9617999792098999,"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/cluster-analysis","display_name":"Cluster analysis","score":0.9094966650009155},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6884899139404297},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6746077537536621},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6363343000411987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5980119109153748},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5476287603378296},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5169441103935242},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4946760833263397},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.4674950838088989},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4597070813179016},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.42323940992355347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31797903776168823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3102564513683319}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.9094966650009155},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6884899139404297},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6746077537536621},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6363343000411987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5980119109153748},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5476287603378296},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5169441103935242},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4946760833263397},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.4674950838088989},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4597070813179016},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.42323940992355347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31797903776168823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3102564513683319},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd.2018.8465344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2018.8465344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD))","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1989810298","https://openalex.org/W1990368529","https://openalex.org/W2003094092","https://openalex.org/W2051224630","https://openalex.org/W2068617723","https://openalex.org/W2108323654","https://openalex.org/W2165187708","https://openalex.org/W2187089797","https://openalex.org/W4242401062","https://openalex.org/W6676449432"],"related_works":["https://openalex.org/W2160785859","https://openalex.org/W2559422900","https://openalex.org/W2188840951","https://openalex.org/W2770741777","https://openalex.org/W2171610853","https://openalex.org/W2185849206","https://openalex.org/W2393816671","https://openalex.org/W2389934482","https://openalex.org/W4241252752","https://openalex.org/W2567087402"],"abstract_inverted_index":{"As":[0],"an":[1,50],"important":[2],"tool,":[3],"clustering":[4,17,23,71,80,102,110,140,163],"validity":[5,14,81],"index":[6,82],"(CVI)":[7],"is":[8,62,93,127,154],"usually":[9],"used":[10],"to":[11,65,95,129],"evaluate":[12,106],"the":[13,16,21,27,67,85,97,100,107,118,123,132,138,148,158,161,166],"of":[15,44,69,87,90,99,109],"results":[18,68,144],"and":[19,41,104,122,137,160],"determine":[20,131],"optimal":[22,139,162],"number":[24],"(Kopt).":[25],"However,":[26],"existing":[28],"CVIs":[29],"have":[30,145],"some":[31],"shortcomings,":[32],"such":[33],"as":[34],"too":[35],"complex":[36],"calculation,":[37],"low":[38],"computational":[39],"efficiency":[40],"narrow":[42],"range":[43],"applications.":[45],"Aiming":[46],"at":[47],"these":[48],"problems,":[49],"improved":[51,119],"K-means":[52,120],"algorithm":[53,115,121,151],"that":[54,147],"uses":[55],"density":[56],"parameters":[57],"for":[58,165],"initial":[59],"centers":[60],"selection":[61],"firstly":[63],"proposed":[64,125,150],"make":[66],"traditional":[70],"algorithms":[72,103],"more":[73],"stable.":[74],"Then,":[75],"a":[76,113],"new":[77,114,124,149],"variance":[78],"based":[79],"(VCVI)":[83],"from":[84],"perspective":[86],"spatial":[88],"distribution":[89],"data":[91,168],"sets":[92],"introduced":[94],"extend":[96],"application":[98],"partitional":[101],"better":[105],"effect":[108],"results.":[111],"Finally,":[112],"integrated":[116],"with":[117,152],"VCVI":[126,153],"designed":[128],"effectively":[130],"K":[133],"<sub":[134],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">opt</sub>":[136],"partition.":[141],"The":[142],"experimental":[143],"shown":[146],"effective":[155],"in":[156],"forming":[157],"Kopt":[159],"partition":[164],"tested":[167],"sets.":[169]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}