{"id":"https://openalex.org/W1964443791","doi":"https://doi.org/10.1109/bmei.2012.6513143","title":"Automatic clustering using particle swarm optimization with various validity indices","display_name":"Automatic clustering using particle swarm optimization with various validity indices","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W1964443791","doi":"https://doi.org/10.1109/bmei.2012.6513143","mag":"1964443791"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2012.6513143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6513143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","raw_type":"proceedings-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/A5080828847","display_name":"Chih\u2010Wei Wang","orcid":"https://orcid.org/0000-0002-6482-6616"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Wei Wang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan","Dept. of Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Dept. of Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025441544","display_name":"Jen-Ing G. Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Ing G. Hwang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan","Dept. of Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]},{"raw_affiliation_string":"Dept. of Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080828847"],"corresponding_institution_ids":["https://openalex.org/I114150738"],"apc_list":null,"apc_paid":null,"fwci":0.4281,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69704264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1557","last_page":"1561"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9851999878883362,"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/T10057","display_name":"Face and Expression Recognition","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.880670428276062},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.7101929187774658},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6598811149597168},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6554058194160461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6262679100036621},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.613116443157196},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5988181829452515},{"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":0.5945873260498047},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5301790237426758},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.48982736468315125},{"id":"https://openalex.org/keywords/rand-index","display_name":"Rand index","score":0.43412038683891296},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.43335047364234924},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4284965991973877},{"id":"https://openalex.org/keywords/k-medians-clustering","display_name":"k-medians clustering","score":0.42751437425613403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34139829874038696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24567976593971252}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.880670428276062},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.7101929187774658},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6598811149597168},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6554058194160461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6262679100036621},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.613116443157196},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5988181829452515},{"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":0.5945873260498047},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5301790237426758},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.48982736468315125},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.43412038683891296},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.43335047364234924},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4284965991973877},{"id":"https://openalex.org/C115328559","wikidata":"https://www.wikidata.org/wiki/Q4041956","display_name":"k-medians clustering","level":5,"score":0.42751437425613403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34139829874038696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24567976593971252},{"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:10.1109/bmei.2012.6513143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6513143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","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":17,"referenced_works":["https://openalex.org/W1538131879","https://openalex.org/W1673310716","https://openalex.org/W1838818075","https://openalex.org/W2057712948","https://openalex.org/W2075075331","https://openalex.org/W2095897464","https://openalex.org/W2107903523","https://openalex.org/W2125213524","https://openalex.org/W2131687179","https://openalex.org/W2132763547","https://openalex.org/W2150528024","https://openalex.org/W2150796166","https://openalex.org/W2152195021","https://openalex.org/W4231029117","https://openalex.org/W4232396098","https://openalex.org/W6638913232","https://openalex.org/W6664747023"],"related_works":["https://openalex.org/W2042755526","https://openalex.org/W1481928625","https://openalex.org/W2770741777","https://openalex.org/W3092684173","https://openalex.org/W2160207517","https://openalex.org/W2188840951","https://openalex.org/W2559422900","https://openalex.org/W2393816671","https://openalex.org/W4241252752","https://openalex.org/W3176177124"],"abstract_inverted_index":{"Data":[0,48],"clustering":[1,49,58,66,96,110],"partitions":[2],"a":[3,35,52,93],"dataset":[4],"into":[5],"clusters":[6,39,138],"where":[7],"each":[8],"cluster":[9,141],"contains":[10],"similar":[11],"data.":[12,47],"Clustering":[13],"algorithms":[14,111],"usually":[15],"require":[16],"users":[17,41],"to":[18,33,55,85,148],"set":[19],"the":[20,46,57,134],"number":[21,37,136],"of":[22,38,45,137],"clusters,":[23],"e.g.,":[24],"k-means":[25],"or":[26],"fuzzy":[27],"c-means.":[28],"However,":[29],"it":[30],"is":[31,83,105],"difficult":[32],"determine":[34],"meaningful":[36],"if":[40],"lack":[42],"prior":[43],"knowledge":[44],"may":[50],"use":[51],"validity":[53,61,81,155],"index":[54,82],"grade":[56],"quality.":[59],"Most":[60],"indices":[62],"are":[63,73],"based":[64,97,112],"on":[65,98,113],"compactness":[67],"and":[68,119],"separation,":[69],"but":[70,143],"other":[71,108],"criteria":[72],"also":[74,145],"used":[75],"for":[76],"clustering.":[77],"Therefore,":[78],"no":[79],"individual":[80],"applicable":[84],"data":[86,121,149],"with":[87,107,139,150],"different":[88,151],"properties.":[89],"This":[90],"paper":[91],"presents":[92],"novel":[94],"dynamic":[95,109],"particle":[99,114],"swarm":[100,115],"optimization.":[101],"The":[102,123],"proposed":[103,129],"algorithm":[104,130],"compared":[106],"optimization":[116],"using":[117,153],"artificial":[118],"real":[120],"sets.":[122],"experimental":[124],"results":[125],"showed":[126],"that":[127],"our":[128],"not":[131],"only":[132],"determines":[133],"appropriate":[135],"correct":[140],"centers":[142],"can":[144],"be":[146],"applied":[147],"properties":[152],"various":[154],"indices.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
