{"id":"https://openalex.org/W3049659830","doi":"https://doi.org/10.1142/s0219691320500538","title":"The fast clustering algorithm for the big data based on K-means","display_name":"The fast clustering algorithm for the big data based on K-means","publication_year":2020,"publication_date":"2020-08-14","ids":{"openalex":"https://openalex.org/W3049659830","doi":"https://doi.org/10.1142/s0219691320500538","mag":"3049659830"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691320500538","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691320500538","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5101496580","display_name":"Ting Xie","orcid":"https://orcid.org/0000-0003-0297-8320"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Xie","raw_affiliation_strings":["College of Science, Chongqing University of Technology, Chongqing, 400054, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0297-8320","affiliations":[{"raw_affiliation_string":"College of Science, Chongqing University of Technology, Chongqing, 400054, P. R. China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101664915","display_name":"Taiping Zhang","orcid":"https://orcid.org/0000-0001-9891-4203"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taiping Zhang","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, 400030, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, 400030, P. R. China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6708,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71510963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"18","issue":"06","first_page":"2050053","last_page":"2050053"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9958999752998352,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9958000183105469,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9818000197410583,"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":0.8065345287322998},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6461275219917297},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.6172956824302673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5986758470535278},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5832701325416565},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5528945326805115},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5032970309257507},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4999961853027344},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.454941064119339},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44680020213127136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42739251255989075},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4195926785469055},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4183926582336426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.360148549079895}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8065345287322998},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6461275219917297},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.6172956824302673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5986758470535278},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5832701325416565},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5528945326805115},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5032970309257507},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4999961853027344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.454941064119339},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44680020213127136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42739251255989075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4195926785469055},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4183926582336426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.360148549079895},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691320500538","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691320500538","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4113538296","display_name":null,"funder_award_id":"cstc2019jcyj-msxmX0491","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"}],"funders":[{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1452667323","https://openalex.org/W1453103518","https://openalex.org/W1971022913","https://openalex.org/W1993962865","https://openalex.org/W1996510517","https://openalex.org/W2009823511","https://openalex.org/W2035890032","https://openalex.org/W2039844283","https://openalex.org/W2046637251","https://openalex.org/W2051853955","https://openalex.org/W2059279601","https://openalex.org/W2065030431","https://openalex.org/W2067191022","https://openalex.org/W2073568237","https://openalex.org/W2073797589","https://openalex.org/W2089609272","https://openalex.org/W2096765209","https://openalex.org/W2098085110","https://openalex.org/W2103056131","https://openalex.org/W2126493897","https://openalex.org/W2126739537","https://openalex.org/W2130132923","https://openalex.org/W2132914434","https://openalex.org/W2136740129","https://openalex.org/W2140405352","https://openalex.org/W2150593711","https://openalex.org/W2152027810","https://openalex.org/W2166781165","https://openalex.org/W2166982406","https://openalex.org/W2167428023","https://openalex.org/W2748391982","https://openalex.org/W2770487168","https://openalex.org/W2773715676","https://openalex.org/W2781654953","https://openalex.org/W2793728385","https://openalex.org/W2891656133","https://openalex.org/W2949483514","https://openalex.org/W2976835964","https://openalex.org/W3093859540"],"related_works":["https://openalex.org/W4301002638","https://openalex.org/W2371010743","https://openalex.org/W3088133960","https://openalex.org/W2163563073","https://openalex.org/W1987613674","https://openalex.org/W4253632195","https://openalex.org/W2393707058","https://openalex.org/W2590117803","https://openalex.org/W3124860551","https://openalex.org/W2181519036"],"abstract_inverted_index":{"As":[0],"a":[1,25],"powerful":[2],"unsupervised":[3],"learning":[4],"technique,":[5],"clustering":[6,18,45,56],"is":[7,24,132],"the":[8,59,79,82,87,91,96,105,129,135],"fundamental":[9],"task":[10],"of":[11,27,41,62,81,98],"big":[12,21,63,139],"data":[13,22,33,64,117,121,140],"analysis.":[14],"However,":[15],"many":[16],"traditional":[17],"algorithms":[19],"for":[20],"that":[23,128],"collection":[26],"high":[28],"dimension,":[29],"sparse":[30],"and":[31,44,65,90,94,111,122],"noise":[32],"do":[34],"not":[35],"perform":[36],"well":[37],"both":[38],"in":[39,86,138],"terms":[40],"computational":[42],"efficiency":[43],"accuracy.":[46],"To":[47],"alleviate":[48],"these":[49],"problems,":[50],"this":[51],"paper":[52],"presents":[53],"Feature":[54,83,106],"K-means":[55,84,107,110,113],"model":[57,85],"on":[58,71,114],"feature":[60,92],"space":[61,89,93],"introduces":[66],"its":[67,99],"fast":[68],"algorithm":[69,137],"based":[70],"Alternating":[72],"Direction":[73],"Multiplier":[74],"Method":[75],"(ADMM).":[76],"We":[77],"show":[78,127],"equivalence":[80],"original":[88],"prove":[95],"convergence":[97],"iterative":[100],"algorithm.":[101],"Computationally,":[102],"we":[103],"compare":[104],"with":[108],"Spherical":[109],"Kernel":[112],"several":[115],"benchmark":[116],"sets,":[118],"including":[119],"artificial":[120],"four":[123],"face":[124],"databases.":[125],"Experiments":[126],"proposed":[130],"approach":[131],"comparable":[133],"to":[134],"state-of-the-art":[136],"clustering.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}