{"id":"https://openalex.org/W4407693596","doi":"https://doi.org/10.1109/ewdts63723.2024.10873792","title":"Enhancing K-Means Clustering Efficiency on FPGA: A Three-Design Approach to Parallel Implementation","display_name":"Enhancing K-Means Clustering Efficiency on FPGA: A Three-Design Approach to Parallel Implementation","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4407693596","doi":"https://doi.org/10.1109/ewdts63723.2024.10873792"},"language":"en","primary_location":{"id":"doi:10.1109/ewdts63723.2024.10873792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ewdts63723.2024.10873792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE East-West Design &amp;amp; Test Symposium (EWDTS)","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/A5116309711","display_name":"Saeed Shokraneh","orcid":null},"institutions":[{"id":"https://openalex.org/I41832843","display_name":"University of Tabriz","ror":"https://ror.org/01papkj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I41832843"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saeed Shokraneh","raw_affiliation_strings":["University of Tabriz,ECE faculty,Department of computer engineering,Tabriz,IRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tabriz,ECE faculty,Department of computer engineering,Tabriz,IRAN","institution_ids":["https://openalex.org/I41832843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012671504","display_name":"\u202aMina Zolfy Lighvan","orcid":"https://orcid.org/0000-0002-4555-597X"},"institutions":[{"id":"https://openalex.org/I41832843","display_name":"University of Tabriz","ror":"https://ror.org/01papkj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I41832843"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mina Zolfy Lighvan","raw_affiliation_strings":["University of Tabriz,ECE faculty,Department of computer engineering,Tabriz,IRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tabriz,ECE faculty,Department of computer engineering,Tabriz,IRAN","institution_ids":["https://openalex.org/I41832843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023247724","display_name":"Mohammad Asadpour","orcid":"https://orcid.org/0000-0002-1672-149X"},"institutions":[{"id":"https://openalex.org/I41832843","display_name":"University of Tabriz","ror":"https://ror.org/01papkj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I41832843"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Asadpour","raw_affiliation_strings":["University of Tabriz,ECE faculty,Department of computer engineering,Tabriz,IRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tabriz,ECE faculty,Department of computer engineering,Tabriz,IRAN","institution_ids":["https://openalex.org/I41832843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41832843"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23357671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.7724000215530396,"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":0.7724000215530396,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.7289999723434448,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10320","display_name":"Neural Networks and Applications","score":0.6689000129699707,"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7922064065933228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616653442382812},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6940099000930786},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.525661051273346},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.49173954129219055},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.41107532382011414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15783923864364624}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7922064065933228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616653442382812},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6940099000930786},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.525661051273346},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.49173954129219055},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.41107532382011414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15783923864364624}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ewdts63723.2024.10873792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ewdts63723.2024.10873792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE East-West Design &amp;amp; Test Symposium (EWDTS)","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":15,"referenced_works":["https://openalex.org/W1972648069","https://openalex.org/W2042166919","https://openalex.org/W2900331569","https://openalex.org/W2951458036","https://openalex.org/W2955812040","https://openalex.org/W2971913919","https://openalex.org/W3010713789","https://openalex.org/W3046623090","https://openalex.org/W3088046302","https://openalex.org/W3129074470","https://openalex.org/W4388486242","https://openalex.org/W4389304731","https://openalex.org/W4392945516","https://openalex.org/W4396909864","https://openalex.org/W4399769309"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W4200391368","https://openalex.org/W2096844293","https://openalex.org/W2363944576","https://openalex.org/W2351041855","https://openalex.org/W2570254841","https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506"],"abstract_inverted_index":{"The":[0],"K-means":[1,83],"clustering":[2,84],"algorithm,":[3],"which":[4],"is":[5,17],"widely":[6],"used":[7],"to":[8,32,52,89],"find":[9],"correlations":[10],"between":[11],"data":[12,24,98],"in":[13,43,56,67],"different":[14],"application":[15],"domains,":[16],"a":[18,23,57,134],"suitable":[19],"technique":[20],"for":[21,72,96,112],"clustring":[22],"set":[25],"into":[26,105],"subsets":[27],"of":[28,35,60,81,123,136],"similar":[29],"features.":[30],"Due":[31],"the":[33,63,82,102,116,118,121,141,148],"possibility":[34],"simple":[36],"parallelization,":[37],"this":[38],"algorithm":[39,85],"can":[40],"be":[41],"implemented":[42],"parallel":[44,68],"on":[45,86,115,140],"hardware":[46,64,110],"such":[47],"as":[48],"FPGA,":[49,87,117],"GPU,":[50],"etc.":[51],"perform":[53],"intensive":[54],"calculations":[55],"short":[58],"period":[59],"time.":[61],"However,":[62],"resources":[65],"available":[66],"implementations":[69],"are":[70,138],"challenging":[71],"large-sized":[73,97],"data.":[74],"This":[75],"paper":[76],"introduces":[77],"an":[78],"efficient":[79],"implementation":[80,119],"aiming":[88],"reduce":[90],"computational":[91],"load":[92],"and":[93,107,133,159],"enhance":[94],"performance":[95],"sets.":[99],"By":[100],"dividing":[101],"search":[103],"space":[104],"parts":[106],"designing":[108],"specific":[109],"units":[111],"each":[113],"part":[114],"optimizes":[120],"use":[122],"on-chip":[124],"memory":[125],"resources.":[126],"Various":[127],"implementations,":[128],"including":[129],"Custom":[130,149],"IP_core,":[131],"Microblaze,":[132],"combination":[135],"both,":[137],"evaluated":[139],"ML506":[142],"Virtex5":[143],"board.":[144],"Results":[145],"indicate":[146],"that":[147],"IP_core-based":[150],"design":[151],"outperforms":[152],"other":[153],"methods,":[154],"showing":[155],"higher":[156],"calculation":[157],"speed":[158],"lower":[160],"resource":[161],"consumption.":[162]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
