{"id":"https://openalex.org/W3164054856","doi":"https://doi.org/10.1142/s0219622021500309","title":"An Ensemble Clusterer Framework based on Valid and Diverse Basic Small Clusters","display_name":"An Ensemble Clusterer Framework based on Valid and Diverse Basic Small Clusters","publication_year":2021,"publication_date":"2021-05-26","ids":{"openalex":"https://openalex.org/W3164054856","doi":"https://doi.org/10.1142/s0219622021500309","mag":"3164054856"},"language":"en","primary_location":{"id":"doi:10.1142/s0219622021500309","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622021500309","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","raw_type":"journal-article"},"type":"article","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/A5013878664","display_name":"Tao Sun","orcid":"https://orcid.org/0000-0001-8828-1174"},"institutions":[{"id":"https://openalex.org/I2800517447","display_name":"Guangzhou Academy of Fine Arts","ror":"https://ror.org/044my7157","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800517447"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Sun","raw_affiliation_strings":["Information Technology Center, Guangzhou Academy of Fine Arts, Guangzhou, Guangdong Province, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Center, Guangzhou Academy of Fine Arts, Guangzhou, Guangdong Province, P. R. China","institution_ids":["https://openalex.org/I2800517447"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072720452","display_name":"Saeed Mashdour","orcid":null},"institutions":[{"id":"https://openalex.org/I110525433","display_name":"Islamic Azad University, Tehran","ror":"https://ror.org/01kzn7k21","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saeed Mashdour","raw_affiliation_strings":["Nourabad Mamasani Branch, Islamic Azad University, Mamasani, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nourabad Mamasani Branch, Islamic Azad University, Mamasani, Iran","institution_ids":["https://openalex.org/I110525433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025110478","display_name":"Mohammad Reza Mahmoudi","orcid":"https://orcid.org/0000-0003-4686-0930"},"institutions":[{"id":"https://openalex.org/I4210161235","display_name":"Fasa University of Medical Sciences","ror":"https://ror.org/05bh0zx16","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210161235"]},{"id":"https://openalex.org/I4400600978","display_name":"Fasa University","ror":"https://ror.org/03a77cf20","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600978"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad Reza Mahmoudi","raw_affiliation_strings":["Department of Statistics, Faculty of Science, Fasa University, Fasa, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science, Fasa University, Fasa, Iran","institution_ids":["https://openalex.org/I4210161235","https://openalex.org/I4400600978"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025110478"],"corresponding_institution_ids":["https://openalex.org/I4210161235","https://openalex.org/I4400600978"],"apc_list":null,"apc_paid":null,"fwci":0.1365,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51928089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":"04","first_page":"1189","last_page":"1219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9927999973297119,"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":0.9865999817848206,"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":0.8339983820915222},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.7276421785354614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6889528036117554},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6600730419158936},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5546149015426636},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5303457379341125},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5138981342315674},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43176060914993286},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.42451101541519165},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4174748659133911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.378815621137619},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3656858205795288},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.3131713271141052},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.21803539991378784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21636271476745605},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.057004690170288086},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.05177956819534302}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8339983820915222},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.7276421785354614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6889528036117554},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6600730419158936},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5546149015426636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5303457379341125},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5138981342315674},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43176060914993286},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.42451101541519165},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4174748659133911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.378815621137619},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3656858205795288},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.3131713271141052},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.21803539991378784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21636271476745605},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.057004690170288086},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.05177956819534302},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219622021500309","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622021500309","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology &amp; Decision Making","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:ijitdm:v:20:y:2021:i:04:n:s0219622021500309","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219622021500309","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3701943945","display_name":null,"funder_award_id":"2017GXJK089","funder_id":"https://openalex.org/F4320312115","funder_display_name":"Internet Society"}],"funders":[{"id":"https://openalex.org/F4320312115","display_name":"Internet Society","ror":"https://ror.org/04dzfqx38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W1448586457","https://openalex.org/W1524440898","https://openalex.org/W1544920748","https://openalex.org/W1594519403","https://openalex.org/W1599173567","https://openalex.org/W1608127741","https://openalex.org/W1648123822","https://openalex.org/W1919721856","https://openalex.org/W1964346230","https://openalex.org/W1967066839","https://openalex.org/W1967168896","https://openalex.org/W1967761844","https://openalex.org/W1993807384","https://openalex.org/W1995521197","https://openalex.org/W1996276996","https://openalex.org/W2011430131","https://openalex.org/W2014560520","https://openalex.org/W2024428474","https://openalex.org/W2024975721","https://openalex.org/W2028899393","https://openalex.org/W2037337722","https://openalex.org/W2053677366","https://openalex.org/W2071319114","https://openalex.org/W2082149764","https://openalex.org/W2096285766","https://openalex.org/W2098777834","https://openalex.org/W2103781895","https://openalex.org/W2108343180","https://openalex.org/W2112796928","https://openalex.org/W2114979880","https://openalex.org/W2115346774","https://openalex.org/W2116984363","https://openalex.org/W2124642181","https://openalex.org/W2124957865","https://openalex.org/W2125734176","https://openalex.org/W2127425968","https://openalex.org/W2130851950","https://openalex.org/W2131687179","https://openalex.org/W2139280638","https://openalex.org/W2140405352","https://openalex.org/W2141585940","https://openalex.org/W2149230623","https://openalex.org/W2151153628","https://openalex.org/W2153293405","https://openalex.org/W2155916898","https://openalex.org/W2155992096","https://openalex.org/W2160437295","https://openalex.org/W2162895261","https://openalex.org/W2165835468","https://openalex.org/W2171975443","https://openalex.org/W2294414050","https://openalex.org/W2295256067","https://openalex.org/W2319660501","https://openalex.org/W2338231020","https://openalex.org/W2517968414","https://openalex.org/W2587683879","https://openalex.org/W2617946485","https://openalex.org/W2626848251","https://openalex.org/W2747360225","https://openalex.org/W2756079035","https://openalex.org/W2765135859","https://openalex.org/W2765679129","https://openalex.org/W2766544915","https://openalex.org/W2776279030","https://openalex.org/W2791111196","https://openalex.org/W2803855787","https://openalex.org/W2806990627","https://openalex.org/W2892361395","https://openalex.org/W2895709423","https://openalex.org/W2902868947","https://openalex.org/W2911358880","https://openalex.org/W2911754149","https://openalex.org/W2913907671","https://openalex.org/W2930504712","https://openalex.org/W2964032833","https://openalex.org/W2974995922","https://openalex.org/W2998979401","https://openalex.org/W2999905431","https://openalex.org/W3010673606","https://openalex.org/W3045116697","https://openalex.org/W3096808766","https://openalex.org/W3101544696","https://openalex.org/W4232478844","https://openalex.org/W4239146293","https://openalex.org/W4239320016","https://openalex.org/W4244764782","https://openalex.org/W4246401127","https://openalex.org/W4285719527","https://openalex.org/W4300766661"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W1807784185","https://openalex.org/W4390905871","https://openalex.org/W3202800081","https://openalex.org/W1909207154","https://openalex.org/W3124390867","https://openalex.org/W3101614107","https://openalex.org/W3204228978","https://openalex.org/W1514365828","https://openalex.org/W4390971112"],"abstract_inverted_index":{"Clustering":[0],"ensemble":[1,33,61,87,102,120,145,193],"is":[2,8,26,34,71,125,135,147,165,195],"a":[3,12,16,40,53,80,99,108,131],"new":[4],"problem":[5],"where":[6],"it":[7,91],"aimed":[9],"to":[10,29,35,38,128],"extract":[11],"clustering":[13,101,144,155,163,192],"out":[14],"of":[15,18,23,50,85,107,110,176,185,202],"pool":[17,22,109],"base":[19,24,112,154,162],"clusterings.":[20],"The":[21,56,75],"clusterings":[25,113],"sometimes":[27],"referred":[28],"as":[30,68,92,94],"ensemble.":[31],"An":[32],"be":[36,39],"considered":[37],"suitable":[41],"one,":[42],"if":[43],"its":[44,129],"members":[45,88,121],"are":[46],"diverse":[47],"and":[48,122,150,204],"any":[49],"them":[51],"has":[52],"minimum":[54],"quality.":[55],"method":[57],"that":[58,83,104,141,159,190],"maps":[59],"an":[60,63],"into":[62],"output":[64],"partition":[65,82],"(called":[66],"also":[67,136],"consensus":[69,73,76,81,133,170,178],"partition)":[70],"named":[72],"function.":[74,179],"function":[77,134],"should":[78],"find":[79,189],"all":[84],"the":[86,111,115,142,174,183,186,191],"agree":[89],"on":[90],"much":[93],"possible.":[95],"In":[96],"this":[97],"paper,":[98],"novel":[100,132],"framework":[103,146,194],"guarantees":[105],"generation":[106],"with":[114,182],"both":[116],"conditions":[117],"(diversity":[118],"among":[119,168],"high-quality":[123],"members)":[124],"introduced.":[126,137],"According":[127],"limitations,":[130],"We":[138],"experimentally":[139],"show":[140,158,173],"proposed":[143],"scalable,":[148],"efficient":[149],"general.":[151],"Using":[152],"different":[153,169],"algorithms,":[156],"we":[157,172,188],"our":[160,177],"improved":[161],"algorithm":[164],"better.":[166],"Also,":[167],"functions,":[171],"effectiveness":[175],"Finally,":[180],"comparing":[181],"state":[184],"art,":[187],"comparable":[196],"or":[197],"even":[198],"better":[199],"in":[200],"terms":[201],"scalability":[203],"efficacy.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
