{"id":"https://openalex.org/W2903682769","doi":"https://doi.org/10.1145/3287921.3287927","title":"A New Assessment of Cluster Tendency Ensemble approach for Data Clustering","display_name":"A New Assessment of Cluster Tendency Ensemble approach for Data Clustering","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2903682769","doi":"https://doi.org/10.1145/3287921.3287927","mag":"2903682769"},"language":"en","primary_location":{"id":"doi:10.1145/3287921.3287927","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287921.3287927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018","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/A5033607065","display_name":"Pham Van Nha","orcid":null},"institutions":[{"id":"https://openalex.org/I70349855","display_name":"Vietnam Academy of Science and Technology","ror":"https://ror.org/02wsd5p50","country_code":"VN","type":"government","lineage":["https://openalex.org/I70349855"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Pham Van Nha","raw_affiliation_strings":["Academy of Military Science and Technology, Cau Giay, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Military Science and Technology, Cau Giay, Hanoi, Vietnam","institution_ids":["https://openalex.org/I70349855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060363397","display_name":"Ngo Thanh Long","orcid":null},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Ngo Thanh Long","raw_affiliation_strings":["Le Quy Don Technical University, Cau Giay, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University, Cau Giay, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051979302","display_name":"Pham The Long","orcid":null},"institutions":[{"id":"https://openalex.org/I131359167","display_name":"Le Quy Don Technical University","ror":"https://ror.org/04wgyjv21","country_code":"VN","type":"education","lineage":["https://openalex.org/I131359167"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Pham The Long","raw_affiliation_strings":["Le Quy Don Technical University, Cau Giay, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Le Quy Don Technical University, Cau Giay, Hanoi, Vietnam","institution_ids":["https://openalex.org/I131359167"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pham Van Hai","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Pham Van Hai","raw_affiliation_strings":["Hanoi University of Science and Technology, Hai Ba Trung, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hai Ba Trung, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9966999888420105,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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/silhouette","display_name":"Silhouette","score":0.8718442916870117},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8077796697616577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7239478230476379},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.6585296392440796},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5792681574821472},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5736026167869568},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5503449440002441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5089254379272461},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48783472180366516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46533671021461487},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.44068479537963867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38555631041526794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.323294997215271}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.8718442916870117},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8077796697616577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7239478230476379},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6585296392440796},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5792681574821472},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5736026167869568},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5503449440002441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5089254379272461},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48783472180366516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46533671021461487},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.44068479537963867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38555631041526794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.323294997215271},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3287921.3287927","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3287921.3287927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Ninth International Symposium on Information and Communication Technology - SoICT 2018","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W100104462","https://openalex.org/W1520723760","https://openalex.org/W1648123822","https://openalex.org/W1823320334","https://openalex.org/W1971707011","https://openalex.org/W1975258543","https://openalex.org/W2000889749","https://openalex.org/W2005827916","https://openalex.org/W2007287431","https://openalex.org/W2022656537","https://openalex.org/W2025328644","https://openalex.org/W2072358441","https://openalex.org/W2138466375","https://openalex.org/W2168457746","https://openalex.org/W2170590171","https://openalex.org/W2193209126","https://openalex.org/W2218112468","https://openalex.org/W2350848312","https://openalex.org/W2396329546","https://openalex.org/W2511371417","https://openalex.org/W2585528949","https://openalex.org/W2618075362","https://openalex.org/W2755502793","https://openalex.org/W2778545923","https://openalex.org/W2783515059","https://openalex.org/W2784045057","https://openalex.org/W2791043861","https://openalex.org/W2800478688","https://openalex.org/W2804316532","https://openalex.org/W2804498673","https://openalex.org/W2809720678","https://openalex.org/W2886710006"],"related_works":["https://openalex.org/W2390267673","https://openalex.org/W1967492795","https://openalex.org/W4389539476","https://openalex.org/W2120258591","https://openalex.org/W2378227553","https://openalex.org/W1584028106","https://openalex.org/W2113424041","https://openalex.org/W2385548616","https://openalex.org/W4313193953","https://openalex.org/W2967215460"],"abstract_inverted_index":{"The":[0,15,30,70,116],"ensemble":[1,16],"is":[2,9,35],"an":[3,95],"universal":[4],"machine":[5],"learning":[6],"method":[7,37,53,98],"that":[8],"based":[10],"on":[11,109],"the":[12,61,68,78,131],"divide-and-conquer":[13],"principle.":[14],"aims":[17],"to":[18,58,126],"improve":[19],"performance":[20],"of":[21,25,32,50,64,72,133],"system":[22],"in":[23,84,130],"terms":[24],"processing":[26,88],"speed":[27],"and":[28,67,76,87,112,123],"quality.":[29],"assessment":[31,49,132],"cluster":[33,51,134],"tendency":[34,52],"a":[36,40,47],"determining":[38],"whether":[39],"considering":[41],"data-set":[42],"contains":[43],"meaningful":[44],"clusters.":[45],"Recently,":[46],"silhouette-based":[48],"(SACT)":[54],"has":[55],"been":[56],"proposed":[57,94,117,128],"simultaneously":[59],"determine":[60],"appropriate":[62],"number":[63],"data":[65,85,100],"clusters":[66],"prototypes.":[69],"advantages":[71],"SACT":[73,97],"are":[74,82],"accuracy":[75,124],"less":[77],"parameter,":[79],"while":[80],"there":[81],"limitations":[83],"size":[86],"speed.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93],"improved":[96],"for":[99],"clustering.":[101],"We":[102],"call":[103],"eSACT":[104],"algorithm.":[105],"Experiments":[106],"were":[107],"conducted":[108],"synthetic":[110],"data-sets":[111],"color":[113],"image":[114],"images.":[115],"algorithm":[118],"exhibited":[119],"high":[120],"performance,":[121],"reliability":[122],"compared":[125],"previous":[127],"algorithms":[129],"tendency.":[135]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
