{"id":"https://openalex.org/W2601998409","doi":"https://doi.org/10.1109/istel.2016.7881809","title":"A modified hybrid Fuzzy clustering method for big data","display_name":"A modified hybrid Fuzzy clustering method for big data","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2601998409","doi":"https://doi.org/10.1109/istel.2016.7881809","mag":"2601998409"},"language":"en","primary_location":{"id":"doi:10.1109/istel.2016.7881809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2016.7881809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Symposium on Telecommunications (IST)","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/A5015267975","display_name":"Amir Khoshkbarchi","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amir Khoshkbarchi","raw_affiliation_strings":["Department of Computer Engineering and Information Technology Amirkabir, University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Information Technology Amirkabir, University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087777101","display_name":"Ali Reza Kamali","orcid":"https://orcid.org/0000-0002-2849-8547"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Kamali","raw_affiliation_strings":["Department of Computer Engineering and Information Technology Amirkabir, University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Information Technology Amirkabir, University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112265802","display_name":"Mehdi Amjadi","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehdi Amjadi","raw_affiliation_strings":["Amirkabir University of Technology, Tehran, Tehran, IR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amirkabir University of Technology, Tehran, Tehran, IR","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054681389","display_name":"Maryam Amir Haeri","orcid":"https://orcid.org/0000-0002-9638-9481"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Maryam Amir Haeri","raw_affiliation_strings":["Department of Computer Engineering and Information Technology Amirkabir, University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Information Technology Amirkabir, University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":0.1941,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.55108221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"196","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9904000163078308,"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":0.7816605567932129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6337120532989502},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6066081523895264},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5805338621139526},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5740340352058411},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5249533653259277},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.487073689699173},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4817809760570526},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4422363340854645},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.41615304350852966},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35159823298454285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3416389226913452},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3096194863319397},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24209603667259216}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7816605567932129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6337120532989502},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6066081523895264},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5805338621139526},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5740340352058411},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5249533653259277},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.487073689699173},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4817809760570526},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4422363340854645},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.41615304350852966},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35159823298454285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3416389226913452},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3096194863319397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24209603667259216},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/istel.2016.7881809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istel.2016.7881809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th International Symposium on Telecommunications (IST)","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":16,"referenced_works":["https://openalex.org/W1985702987","https://openalex.org/W1992419399","https://openalex.org/W1995450389","https://openalex.org/W2011430131","https://openalex.org/W2027811448","https://openalex.org/W2028297022","https://openalex.org/W2040810017","https://openalex.org/W2087115982","https://openalex.org/W2129135389","https://openalex.org/W2132603077","https://openalex.org/W2170535353","https://openalex.org/W2226234900","https://openalex.org/W2326320978","https://openalex.org/W4230773251","https://openalex.org/W4231029117","https://openalex.org/W6685103703"],"related_works":["https://openalex.org/W2361242132","https://openalex.org/W2892323093","https://openalex.org/W3140018618","https://openalex.org/W2353443653","https://openalex.org/W2374506950","https://openalex.org/W2556490192","https://openalex.org/W2383030695","https://openalex.org/W2373741815","https://openalex.org/W2358058270","https://openalex.org/W2393034702"],"abstract_inverted_index":{"Clustering":[0],"is":[1,30,37,62,159],"among":[2],"the":[3,14,24,31,41,57,66,71,84,100,110,135,139,143,150,163,168,175,179,183,196],"most":[4,25,164,184],"common":[5],"data":[6],"mining":[7],"techniques":[8],"and":[9,19,83,95,108,171,188],"Fuzzy":[10,32],"clustering":[11,28,44,59],"can":[12],"model":[13],"world":[15],"even":[16],"more":[17,20],"realistically":[18],"precisely.":[21],"One":[22],"of":[23,74,86,112,134,181],"favorable":[26],"fuzzy":[27,49,58],"methods":[29],"C-Means":[33],"(FCM)":[34],"algorithm,":[35,123],"which":[36],"actually":[38],"identical":[39],"to":[40,65,89,148,200,204],"(original)":[42],"K-Means":[43],"algorithm":[45],"fueled":[46],"with":[47,56,105,130,178],"a":[48,80,87,91,119],"flavor.":[50],"However,":[51],"there":[52],"are":[53],"some":[54],"issues":[55],"methods;":[60],"FCM":[61,122],"too":[63],"sensitive":[64],"initial":[67,72],"conditions,":[68],"like":[69],"identifying":[70],"arrangement":[73],"clusters.":[75],"Furthermore,":[76],"it":[77,96],"suffers":[78],"from":[79],"slow":[81],"convergence":[82],"lack":[85],"guarantee":[88],"reach":[90],"global":[92],"optimal":[93,165,185],"solution":[94],"faces":[97],"problem":[98],"in":[99,146,167,174],"handling":[101],"big":[102,155,201],"data.":[103,136,156],"Dealing":[104],"these":[106],"problems,":[107],"for":[109,154,195],"sake":[111],"an":[113,192],"improved":[114,193],"precision,":[115],"this":[116],"paper":[117],"proposes":[118],"new":[120,151],"modified":[121],"based":[124],"on":[125],"Particle":[126],"Swarm":[127],"Optimization":[128],"(PSO)":[129],"considering":[131],"multiple":[132],"dimensions":[133],"Besides":[137],"that,":[138],"proposed":[140,197],"method":[141,152,198],"utilizes":[142],"Map-Reduce":[144],"technique":[145],"order":[147],"make":[149],"suitable":[153],"This":[157],"objective":[158],"achieved":[160],"by":[161],"selecting":[162],"candidates":[166],"mapping":[169],"phase":[170,177],"aggregating":[172],"them":[173],"reduce":[176],"purpose":[180],"getting":[182],"results.":[186],"Simulation":[187],"experimental":[189],"results":[190],"show":[191],"performance":[194],"applied":[199],"data,":[202],"compared":[203],"other":[205],"hybrid":[206],"FCM-PSO":[207],"method.":[208]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
