{"id":"https://openalex.org/W1999122033","doi":"https://doi.org/10.4304/jcp.8.2.365-371","title":"A Clustering Algorithm based on Local Accumulative Knowledge","display_name":"A Clustering Algorithm based on Local Accumulative Knowledge","publication_year":2013,"publication_date":"2013-01-29","ids":{"openalex":"https://openalex.org/W1999122033","doi":"https://doi.org/10.4304/jcp.8.2.365-371","mag":"1999122033"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.8.2.365-371","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.8.2.365-371","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5111355598","display_name":"Yu Zong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147745","display_name":"West Anhui University","ror":"https://ror.org/046ft6c74","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zong","raw_affiliation_strings":["West Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West Anhui University","institution_ids":["https://openalex.org/I4210147745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103254650","display_name":"Ping Jin","orcid":"https://orcid.org/0000-0003-2498-2654"},"institutions":[{"id":"https://openalex.org/I4210147745","display_name":"West Anhui University","ror":"https://ror.org/046ft6c74","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Jin","raw_affiliation_strings":["West Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West Anhui University","institution_ids":["https://openalex.org/I4210147745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727759","display_name":"D. Xu","orcid":"https://orcid.org/0000-0002-0337-2040"},"institutions":[{"id":"https://openalex.org/I4210137805","display_name":"Victoria School of Management","ror":"https://ror.org/03yvdgx21","country_code":"CH","type":"education","lineage":["https://openalex.org/I4210137805"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dongguan Xu","raw_affiliation_strings":["Victoria University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Victoria University","institution_ids":["https://openalex.org/I4210137805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075012459","display_name":"Rong Pan","orcid":"https://orcid.org/0000-0001-5171-8248"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rong Pan","raw_affiliation_strings":["Department of Computer Science, The Faculty of Engineering and Science (TECH), Machine Intelligence"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The Faculty of Engineering and Science (TECH), Machine Intelligence","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4589,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92565487,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.998199999332428,"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":0.998199999332428,"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/T11106","display_name":"Data Management and Algorithms","score":0.9865000247955322,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6908200979232788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6798416376113892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4489797055721283},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4265674650669098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4075256586074829}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6908200979232788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798416376113892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4489797055721283},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4265674650669098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4075256586074829}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.4304/jcp.8.2.365-371","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.8.2.365-371","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.299.6623","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.299.6623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ojs.academypublisher.com/index.php/jcp/article/viewFile/jcp0802365371/6335/","raw_type":"text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/107364","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/107364","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:pure.atira.dk:publications/bbefd0b9-72d3-4895-8c46-acf5fc854fed","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/bbefd0b9-72d3-4895-8c46-acf5fc854fed","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zong , Y , Jin , P , Xu , G &amp; Pan , R 2013 , ' A clustering algorithm based on local accumulative knowledge ' , Journal of Computers , vol. 8 , no. 2 , pp. 365-371 . https://doi.org/10.4304/jcp.8.2.365-371","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W35810475","https://openalex.org/W1971784203","https://openalex.org/W2004791924","https://openalex.org/W2020701082","https://openalex.org/W2036230352","https://openalex.org/W2046591889","https://openalex.org/W2054274648","https://openalex.org/W2056088289","https://openalex.org/W2057712948","https://openalex.org/W2075098580","https://openalex.org/W2104207383","https://openalex.org/W2111953658","https://openalex.org/W2113424041","https://openalex.org/W2126626732","https://openalex.org/W2130525565","https://openalex.org/W2140405352","https://openalex.org/W2151837974","https://openalex.org/W2164309168","https://openalex.org/W2319660501","https://openalex.org/W2612526924","https://openalex.org/W2986889881","https://openalex.org/W3140914796","https://openalex.org/W4292905395","https://openalex.org/W6659831594","https://openalex.org/W6676988575"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Abstract\u2014Clustering":[0],"as":[1],"an":[2,38,55],"important":[3],"unsupervised":[4],"learning":[5],"technique":[6],"is":[7,22,37,54],"widely":[8,99],"used":[9,100],"to":[10,30,41,69,88,110,124,139,151],"discover":[11],"the":[12,59,78,82,85,126,134,147,152,165,168],"inherent":[13],"structure":[14,118],"of":[15,64,84,129,167,173],"a":[16,62,90,98,117,141],"given":[17],"data":[18,105,149,162],"set.":[19],"For":[20],"clustering":[21,32,35,44,92,102,113,130,143,174],"depended":[23],"on":[24,77,104,137,157],"applications,":[25],"researchers":[26],"use":[27],"different":[28],"models":[29],"defined":[31,46],"problems.":[33],"Heuristic":[34,182],"algorithm":[36,136,183],"efficient":[39],"way":[40],"deal":[42,70],"with":[43,71],"problem":[45],"by":[47],"combining":[48],"optimization":[49],"model,":[50],"but":[51],"initialization":[52,86],"sensitivity":[53,87],"inevitable":[56],"problem.":[57,73],"In":[58,74],"past":[60],"decades,":[61],"lot":[63],"methods":[65],"have":[66],"been":[67],"proposed":[68,169],"such":[72],"this":[75],"paper,":[76],"contrary,":[79],"we":[80],"take":[81],"advantage":[83],"design":[89],"new":[91],"algorithm.":[93],"We,":[94],"firstly,":[95],"run":[96],"K-means,":[97],"heuristic":[101],"algorithm,":[103],"set":[106],"for":[107],"multiple":[108],"times":[109],"generate":[111,140],"several":[112],"results;":[114,131],"secondly,":[115],"propose":[116],"named":[119],"Local":[120,179],"Accumulative":[121],"Knowledge":[122],"(LAKE)":[123],"capture":[125],"common":[127],"information":[128],"thirdly,":[132],"execute":[133],"Single-linkage":[135],"LAKE":[138],"rough":[142],"result;":[144],"eventually,":[145],"assign":[146],"rest":[148],"objects":[150],"corresponding":[153],"clusters.":[154],"Experimental":[155],"results":[156],"synthetic":[158],"and":[159],"real":[160],"world":[161],"sets":[163],"demonstrate":[164],"superiority":[166],"approach":[170],"in":[171],"terms":[172],"quality":[175],"measures.":[176],"Index":[177],"Terms\u2014Clustering,":[178],"accumulative":[180],"knowledge,":[181]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
