{"id":"https://openalex.org/W4225777930","doi":"https://doi.org/10.1109/iske54062.2021.9755338","title":"Particle Swarm Optimization for Clustering Ensemble","display_name":"Particle Swarm Optimization for Clustering Ensemble","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4225777930","doi":"https://doi.org/10.1109/iske54062.2021.9755338"},"language":"en","primary_location":{"id":"doi:10.1109/iske54062.2021.9755338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske54062.2021.9755338","pdf_url":null,"source":{"id":"https://openalex.org/S4363608381","display_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5033085089","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-1803-8678"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,611756","School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022455662","display_name":"Zhiguo Long","orcid":"https://orcid.org/0000-0002-2714-3453"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Long","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,611756"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041584817","display_name":"Chuanyang Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyang Wei","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,611756"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357108","display_name":"Hongjun Wang","orcid":"https://orcid.org/0000-0001-7280-2852"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Wang","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,611756"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,611756","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57376885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"385","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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":0.9991999864578247,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976000189781189,"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":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.9047597646713257},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.7428305745124817},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.7138550877571106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6743297576904297},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.6213693022727966},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.6047552824020386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5998669862747192},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5682389140129089},{"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":0.48009470105171204},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.4796231687068939},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.46897587180137634},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.45674625039100647},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.45047977566719055},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.423422634601593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3715505003929138},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3142492473125458}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.9047597646713257},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.7428305745124817},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.7138550877571106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743297576904297},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.6213693022727966},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.6047552824020386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5998669862747192},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5682389140129089},{"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":0.48009470105171204},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.4796231687068939},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.46897587180137634},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.45674625039100647},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.45047977566719055},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.423422634601593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3715505003929138},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3142492473125458}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske54062.2021.9755338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske54062.2021.9755338","pdf_url":null,"source":{"id":"https://openalex.org/S4363608381","display_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1493454437","https://openalex.org/W1585002319","https://openalex.org/W1882445960","https://openalex.org/W1936065820","https://openalex.org/W1977556410","https://openalex.org/W1992419399","https://openalex.org/W2008544824","https://openalex.org/W2010564375","https://openalex.org/W2015245929","https://openalex.org/W2094521916","https://openalex.org/W2109121021","https://openalex.org/W2113076747","https://openalex.org/W2115346774","https://openalex.org/W2133686994","https://openalex.org/W2138278080","https://openalex.org/W2141099810","https://openalex.org/W2152195021","https://openalex.org/W2163163936","https://openalex.org/W2163488696","https://openalex.org/W2165232124","https://openalex.org/W2297397204","https://openalex.org/W2541092144","https://openalex.org/W2573137292","https://openalex.org/W2582391946","https://openalex.org/W2791146007","https://openalex.org/W2911754149","https://openalex.org/W6639362844","https://openalex.org/W6684439517"],"related_works":["https://openalex.org/W2199594781","https://openalex.org/W2141140100","https://openalex.org/W2188840951","https://openalex.org/W2187382873","https://openalex.org/W1481928625","https://openalex.org/W2533990316","https://openalex.org/W1577058187","https://openalex.org/W2965089876","https://openalex.org/W2040929534","https://openalex.org/W2551136488"],"abstract_inverted_index":{"Clustering":[0],"ensemble":[1,74,141,155,175],"is":[2,79,108],"an":[3],"open":[4],"proposition":[5],"that":[6,107,161],"aims":[7],"to":[8,67,80,87,93,133],"solve":[9],"the":[10,18,45,57,62,77,89,112,122,135,138,167],"limitation":[11],"of":[12,20,61,127,137],"a":[13,28,38,53,95,104,116],"single":[14,39],"cluster":[15,88],"algorithm":[16],"on":[17],"diversity":[19,60],"data":[21,24,46,91,129],"structures":[22],"in":[23,177],"partitions.":[25],"It":[26],"obtains":[27],"consensus":[29],"model":[30,163],"by":[31,115],"integrating":[32],"multiple":[33,83],"clustering":[34,40,73,85,97,105,140,149,154,169,174],"algorithms.":[35,156],"Compared":[36],"with":[37,111,146],"algorithm,":[41],"it":[42,145],"can":[43,164],"process":[44],"more":[47],"accurately":[48],"and":[49,51,59,100,131,143,151,171],"stably,":[50],"has":[52],"better":[54],"tolerance":[55],"for":[56,72,103],"structure":[58],"data.":[63],"This":[64],"paper":[65],"proposes":[66],"integrate":[68],"particle":[69,117],"swarm":[70,118],"optimization":[71,119],"model.":[75],"Particularly,":[76],"idea":[78],"first":[81],"use":[82,126],"classic":[84],"algorithms":[86,150,170,176],"original":[90],"set":[92],"obtain":[94],"preliminary":[96,113],"result":[98,106],"set,":[99],"then":[101],"search":[102],"most":[109,178],"consistent":[110],"results":[114,159],"procedure.":[120],"In":[121],"experiments,":[123],"we":[124],"make":[125],"public":[128],"sets":[130],"micro-precision":[132],"evaluate":[134],"effectiveness":[136],"proposed":[139],"model,":[142],"compare":[144],"both":[147],"base":[148,168],"other":[152],"common":[153,173],"The":[157],"evaluation":[158],"show":[160],"this":[162],"significantly":[165],"improve":[166],"outperforms":[172],"cases.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}