{"id":"https://openalex.org/W1507538846","doi":"https://doi.org/10.1109/icci-cc.2015.7259417","title":"The improvement and implementation of clustering algorithm based on multi-core computing","display_name":"The improvement and implementation of clustering algorithm based on multi-core computing","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1507538846","doi":"https://doi.org/10.1109/icci-cc.2015.7259417","mag":"1507538846"},"language":"en","primary_location":{"id":"doi:10.1109/icci-cc.2015.7259417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2015.7259417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5049378875","display_name":"Liangyu Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangyu Dong","raw_affiliation_strings":["College of computer science and technology, Wuhan University of Technology, Wuhan, Hubei, CN","Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., China"],"affiliations":[{"raw_affiliation_string":"College of computer science and technology, Wuhan University of Technology, Wuhan, Hubei, CN","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100519412","display_name":"XU Dong-ping","orcid":"https://orcid.org/0009-0002-4503-8996"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongping Xu","raw_affiliation_strings":["College of computer science and technology, Wuhan University of Technology, Wuhan, Hubei, CN","Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., China"],"affiliations":[{"raw_affiliation_string":"College of computer science and technology, Wuhan University of Technology, Wuhan, Hubei, CN","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322244","display_name":"Zhenzhen Liu","orcid":"https://orcid.org/0000-0002-4045-7481"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Liu","raw_affiliation_strings":["College of computer science and technology, Wuhan University of Technology, Wuhan, Hubei, CN","Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., China"],"affiliations":[{"raw_affiliation_string":"College of computer science and technology, Wuhan University of Technology, Wuhan, Hubei, CN","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434093","display_name":"Shasha Wang","orcid":"https://orcid.org/0000-0003-4624-7378"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shasha Wang","raw_affiliation_strings":["College of computer science and technology, Wuhan University of Technology, Wuhan, Hubei, CN","Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., China"],"affiliations":[{"raw_affiliation_string":"College of computer science and technology, Wuhan University of Technology, Wuhan, Hubei, CN","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Coll. of Comput. Sci. & Technol., Wuhan Univ. of Technol., China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049378875"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.7946,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79448427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"405","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11106","display_name":"Data Management and Algorithms","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9620000123977661,"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":0.9151614904403687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7770345211029053},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6130863428115845},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6130646467208862},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.6095010042190552},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5758265256881714},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5597953796386719},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5042902231216431},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4326450228691101},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4179800748825073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41518619656562805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2312324047088623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22611290216445923}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.9151614904403687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7770345211029053},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6130863428115845},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6130646467208862},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.6095010042190552},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5758265256881714},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5597953796386719},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5042902231216431},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4326450228691101},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4179800748825073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41518619656562805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2312324047088623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22611290216445923},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/icci-cc.2015.7259417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icci-cc.2015.7259417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1547566968","https://openalex.org/W2330129786","https://openalex.org/W2363675881","https://openalex.org/W2371732833","https://openalex.org/W2378926541","https://openalex.org/W2382691473","https://openalex.org/W2388629805","https://openalex.org/W2389804866","https://openalex.org/W2392628681","https://openalex.org/W4236642514","https://openalex.org/W6711396404"],"related_works":["https://openalex.org/W2892323093","https://openalex.org/W2117838073","https://openalex.org/W2361242132","https://openalex.org/W3071522575","https://openalex.org/W3140018618","https://openalex.org/W2353443653","https://openalex.org/W2374506950","https://openalex.org/W2556490192","https://openalex.org/W2596632494","https://openalex.org/W4312412183"],"abstract_inverted_index":{"Clustering":[0],"is":[1,32],"the":[2,21,28,39,43,58,63,97,105,117,127,130,136,157,165,168,171,180,204,213,232,236,240,243,246],"process":[3],"of":[4,8,15,45,68,102,107,119,129,138,149,159,175,182,216,242],"grouping":[5],"a":[6,25,144,188],"set":[7],"physical":[9],"or":[10],"abstract":[11,22],"objects":[12,23,31,71],"into":[13],"classes":[14],"similar":[16],"objects.":[17],"By":[18],"appropriately":[19],"representing":[20],"in":[24,220],"vector":[26],"space,":[27],"similarity":[29,59],"among":[30,36,60],"equivalent":[33],"to":[34,81,96,114],"that":[35,231],"vectors.":[37,61],"Hence,":[38],"problems,":[40],"such":[41],"as":[42],"clustering":[44,48,66,118,139,176,191,208,218],"limited":[46,69,113,120],"data,":[47],"accuracy":[49,174,241],"and":[50,75,89,173,197,245],"efficiency,":[51],"can":[52],"be":[53,110,123,141],"solved":[54],"properly":[55],"via":[56],"calculating":[57],"As":[62],"research":[64],"on":[65,156,194],"algorithm":[67,192,222,234],"data":[70,108,121,161],"has":[72,78],"been":[73,79],"furthered":[74],"refined,":[76],"it":[77,94],"applied":[80],"various":[82],"fields":[83],"throughout":[84],"commerce,":[85],"industry,":[86],"daily":[87],"life,":[88],"national":[90],"defense":[91],"etc.":[92],"When":[93],"comes":[95],"pursue":[98],"for":[99],"higher":[100],"efficiency":[101,172,248],"these":[103],"applications,":[104],"amount":[106],"will":[109,122,140],"expanded":[111],"from":[112],"mass,":[115],"accordingly":[116],"massively":[124],"enlarged.":[125],"Thus,":[126],"implementation":[128],"traditional":[131,205],"serial":[132,206],"programming":[133,199],"algorithm,":[134,209],"i.e.":[135],"goals":[137],"encountered":[142],"with":[143,224],"devastating":[145],"challenge.":[146],"The":[147,185,227],"arising":[148],"Hadoop":[150,195],"cloud":[151],"computing":[152,158],"platform":[153,196],"throws":[154],"light":[155],"mass":[160],"clustering.":[162],"Nonetheless,":[163],"under":[164],"new":[166],"circumstances,":[167],"issues,":[169],"like":[170],"calculation,":[177],"are":[178],"still":[179],"focuses":[181],"information":[183],"specialists.":[184],"essay":[186],"proposes":[187],"K-means":[189,207,221],"parallel":[190],"based":[193],"MapReduce":[198],"model":[200],"aiming":[201],"at":[202],"improving":[203],"which":[210],"also":[211],"improves":[212],"random":[214],"selection":[215],"initial":[217],"center":[219],"combined":[223],"Canopy":[225],"algorithm.":[226],"experimental":[228],"result":[229],"shows":[230],"improved":[233],"reduces":[235],"time":[237],"complexity.":[238],"Moreover,":[239],"results":[244],"execution":[247],"have":[249],"increased":[250],"by":[251],"40%":[252],"respectively.":[253]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}