{"id":"https://openalex.org/W2597228483","doi":"https://doi.org/10.1504/ijcse.2017.10003832","title":"Gaussian cat swarm optimisation algorithm based on Monte Carlo method for data clustering","display_name":"Gaussian cat swarm optimisation algorithm based on Monte Carlo method for data clustering","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2597228483","doi":"https://doi.org/10.1504/ijcse.2017.10003832","mag":"2597228483"},"language":"en","primary_location":{"id":"doi:10.1504/ijcse.2017.10003832","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcse.2017.10003832","pdf_url":null,"source":{"id":"https://openalex.org/S65043351","display_name":"International Journal of Computational Science and Engineering","issn_l":"1742-7185","issn":["1742-7185","1742-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Science and Engineering","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/A5081663515","display_name":"Yugal Kumar","orcid":"https://orcid.org/0000-0003-3451-4897"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Yugal Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India","institution_ids":["https://openalex.org/I115715567"]}]},{"author_position":"last","author":{"id":null,"display_name":"Gadadhar Sahoo","orcid":null},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gadadhar Sahoo","raw_affiliation_strings":["Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India","institution_ids":["https://openalex.org/I115715567"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081663515"],"corresponding_institution_ids":["https://openalex.org/I115715567"],"apc_list":null,"apc_paid":null,"fwci":0.8315,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79764925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"2","first_page":"198","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization 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/T10100","display_name":"Metaheuristic Optimization 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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.996399998664856,"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":0.9735999703407288,"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":0.7176065444946289},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5861566662788391},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.5809866786003113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5588217377662659},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5484245419502258},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.48850786685943604},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4499340355396271},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43063342571258545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31721803545951843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25154122710227966},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1066039502620697}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7176065444946289},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5861566662788391},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.5809866786003113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5588217377662659},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5484245419502258},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.48850786685943604},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4499340355396271},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43063342571258545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31721803545951843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25154122710227966},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1066039502620697},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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:10.1504/ijcse.2017.10003832","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcse.2017.10003832","pdf_url":null,"source":{"id":"https://openalex.org/S65043351","display_name":"International Journal of Computational Science and Engineering","issn_l":"1742-7185","issn":["1742-7185","1742-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W24910317","https://openalex.org/W165199097","https://openalex.org/W584826680","https://openalex.org/W1147405314","https://openalex.org/W1514328350","https://openalex.org/W1565746575","https://openalex.org/W1585002319","https://openalex.org/W1934475516","https://openalex.org/W1978695274","https://openalex.org/W1984779822","https://openalex.org/W1988505977","https://openalex.org/W2007408863","https://openalex.org/W2011430131","https://openalex.org/W2019617030","https://openalex.org/W2023191324","https://openalex.org/W2023870576","https://openalex.org/W2038661427","https://openalex.org/W2040628945","https://openalex.org/W2040929534","https://openalex.org/W2042802301","https://openalex.org/W2047019718","https://openalex.org/W2073849744","https://openalex.org/W2073877024","https://openalex.org/W2082759946","https://openalex.org/W2089040534","https://openalex.org/W2096166399","https://openalex.org/W2098477891","https://openalex.org/W2100120684","https://openalex.org/W2103868202","https://openalex.org/W2121468396","https://openalex.org/W2122183607","https://openalex.org/W2124402309","https://openalex.org/W2127931254","https://openalex.org/W2133686994","https://openalex.org/W2143712737","https://openalex.org/W2149156031","https://openalex.org/W2154757091","https://openalex.org/W2158242120","https://openalex.org/W2165466912","https://openalex.org/W2169245194","https://openalex.org/W2169868410","https://openalex.org/W2201841678","https://openalex.org/W2328381843","https://openalex.org/W2462173207","https://openalex.org/W2539528171","https://openalex.org/W2543580944","https://openalex.org/W2624281123"],"related_works":["https://openalex.org/W2992415251","https://openalex.org/W4283765137","https://openalex.org/W2804364458","https://openalex.org/W2390808588","https://openalex.org/W4298130764","https://openalex.org/W2393870460","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2997067626","https://openalex.org/W2045438354"],"abstract_inverted_index":{"Clustering":[0],"is":[1,15,20,37,100,115,133,158],"a":[2,38,76,159],"popular":[3],"data":[4],"analysis":[5],"technique":[6,18],"to":[7,22,46,58,102,117,164],"find":[8],"the":[9,24,104,107,119,130,155,166],"hidden":[10],"relationship":[11],"between":[12],"patterns.":[13],"It":[14],"an":[16],"unsupervised":[17],"which":[19,42],"applied":[21,45,101],"obtain":[23],"optimal":[25],"cluster":[26],"centres":[27],"especially":[28],"in":[29,56,124],"partitioned-based":[30],"clustering":[31,167],"algorithms.":[32,62],"Cat":[33],"swarm":[34],"optimisation":[35,49],"(CSO)":[36],"new":[39,77],"meta-heuristic":[40],"algorithm":[41,65,80,121,132,157,163],"has":[43],"been":[44],"solve":[47],"various":[48],"problems":[50],"and":[51,69,87,138,141,148,161],"it":[52],"provides":[53],"better":[54],"results":[55,152],"comparison":[57],"same":[59],"class":[60],"of":[61,106,129],"But,":[63],"this":[64],"suffers":[66],"from":[67,122],"diversity":[68,105],"local":[70,125],"optima":[71],"problems.":[72,168],"This":[73],"study":[74],"presents":[75],"hybrid":[78],"CSO":[79,108,120],"by":[81],"incorporating":[82],"Monte":[83,96],"Carlo-based":[84,97],"search":[85,98],"equation":[86,99],"population":[88,111],"centroid":[89,112],"(PopC)":[90,113],"operator":[91,114],"with":[92,135,143],"Gaussian":[93],"probability":[94],"distribution.":[95],"enhance":[103],"algorithm.":[109],"The":[110,127,150],"used":[116],"prevent":[118],"trapping":[123],"optima.":[126],"performance":[128],"proposed":[131,156],"tested":[134],"several":[136],"artificial":[137],"real":[139],"datasets":[140],"compared":[142],"existing":[144],"methods":[145],"like":[146],"K-means":[147],"PSO.":[149],"experimental":[151],"indicate":[153],"that":[154],"robust":[160],"effective":[162],"handle":[165]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
