{"id":"https://openalex.org/W4283448868","doi":"https://doi.org/10.1145/3533050.3533057","title":"Set-based Particle Swarm Optimization for Data Clustering","display_name":"Set-based Particle Swarm Optimization for Data Clustering","publication_year":2022,"publication_date":"2022-04-09","ids":{"openalex":"https://openalex.org/W4283448868","doi":"https://doi.org/10.1145/3533050.3533057"},"language":"en","primary_location":{"id":"doi:10.1145/3533050.3533057","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533050.3533057","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533050.3533057","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3533050.3533057","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040821433","display_name":"Lienke Brown","orcid":null},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Lienke Brown","raw_affiliation_strings":["Industrial Engineering, Stellenbosch University, South Africa"],"affiliations":[{"raw_affiliation_string":"Industrial Engineering, Stellenbosch University, South Africa","institution_ids":["https://openalex.org/I26092322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039197997","display_name":"Andries P. Engelbrecht","orcid":"https://orcid.org/0000-0002-0242-3539"},"institutions":[{"id":"https://openalex.org/I26092322","display_name":"Stellenbosch University","ror":"https://ror.org/05bk57929","country_code":"ZA","type":"education","lineage":["https://openalex.org/I26092322"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Andries Engelbrecht","raw_affiliation_strings":["Industrial Engineering, and Computer Science, Stellenbosch University, South Africa"],"affiliations":[{"raw_affiliation_string":"Industrial Engineering, and Computer Science, Stellenbosch University, South Africa","institution_ids":["https://openalex.org/I26092322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040821433"],"corresponding_institution_ids":["https://openalex.org/I26092322"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51037462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994000196456909,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9994000196456909,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9980999827384949,"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/T11106","display_name":"Data Management and Algorithms","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8780337572097778},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7231202721595764},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6997742056846619},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.672967791557312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6503729224205017},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.6397549510002136},{"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":0.5511443614959717},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5148517489433289},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5139105319976807},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47891080379486084},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4751172661781311},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37254804372787476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29585516452789307}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8780337572097778},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7231202721595764},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6997742056846619},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.672967791557312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6503729224205017},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.6397549510002136},{"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":0.5511443614959717},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5148517489433289},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5139105319976807},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47891080379486084},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4751172661781311},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37254804372787476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29585516452789307},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3533050.3533057","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533050.3533057","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533050.3533057","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3533050.3533057","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533050.3533057","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533050.3533057","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283448868.pdf","grobid_xml":"https://content.openalex.org/works/W4283448868.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1580876177","https://openalex.org/W1585002319","https://openalex.org/W1953138840","https://openalex.org/W1975552235","https://openalex.org/W1992419399","https://openalex.org/W2005073772","https://openalex.org/W2013674998","https://openalex.org/W2087528369","https://openalex.org/W2125213524","https://openalex.org/W2955907101","https://openalex.org/W4285240692"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W2892323093","https://openalex.org/W2394193399","https://openalex.org/W3174322327","https://openalex.org/W2738096727","https://openalex.org/W4240938748","https://openalex.org/W2036298232","https://openalex.org/W2363054820","https://openalex.org/W2163563073","https://openalex.org/W2171610853"],"abstract_inverted_index":{"Computational":[0],"intelligence":[1],"approaches":[2],"to":[3,26,45,73,109],"data":[4,27,56,62,98],"clustering":[5,65,78,83,110],"have":[6],"been":[7],"successful":[8,107],"in":[9],"producing":[10],"compact":[11],"and":[12,32,58,80],"well-separated":[13],"clusters.":[14],"In":[15],"particular,":[16],"particle":[17],"swarm":[18],"optimization":[19],"(PSO)":[20],"is":[21,51,71,86,104],"deemed":[22,105],"an":[23],"effective":[24],"approach":[25,108],"clustering.":[28],"This":[29],"paper":[30],"develops":[31],"evaluates":[33],"a":[34,81,106],"discrete-valued":[35],"variation":[36],"of":[37,67,76,91],"PSO,":[38],"namely":[39],"the":[40,68,74,89,92,97,102],"set-based":[41],"PSO":[42,82],"(SBPSO)":[43],"algorithm,":[44],"cluster":[46],"data.":[47,111],"The":[48,64],"SBPSO":[49,69,93,103],"algorithm":[50,70,94],"evaluated":[52],"on":[53],"six":[54],"standard":[55],"sets":[57],"nine":[59],"artificially":[60],"generated":[61],"sets.":[63],"results":[66,90],"compared":[72],"performance":[75],"established":[77],"algorithms":[79],"algorithm.":[84],"It":[85],"concluded":[87],"that":[88],"varies":[95],"with":[96],"set":[99],"characteristics.":[100],"Nonetheless,":[101]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}