{"id":"https://openalex.org/W2744644218","doi":"https://doi.org/10.1504/ijcse.2017.10006987","title":"Variable penalty factors: a new GEP automatic clustering algorithm","display_name":"Variable penalty factors: a new GEP automatic clustering algorithm","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2744644218","doi":"https://doi.org/10.1504/ijcse.2017.10006987","mag":"2744644218"},"language":"en","primary_location":{"id":"doi:10.1504/ijcse.2017.10006987","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcse.2017.10006987","pdf_url":null,"source":{"id":"https://openalex.org/S65043351","display_name":"International Journal of Computational Science and Engineering","issn_l":"1742-7185","issn":["1742-7185","1742-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Science and Engineering","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/A5038638812","display_name":"Haohua Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I2800853570","display_name":"China Banking Regulatory Commission","ror":"https://ror.org/04hqsgm68","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800853570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haohua Huang","raw_affiliation_strings":["China Banking Regulatory Commission Guangdong Office, Guangzhou 510117, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Banking Regulatory Commission Guangdong Office, Guangzhou 510117, China","institution_ids":["https://openalex.org/I2800853570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102909463","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0001-9294-0128"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026092741","display_name":"Kangshun Li","orcid":"https://orcid.org/0000-0002-0429-446X"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangshun Li","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China","institution_ids":["https://openalex.org/I101479585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11755133,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"1/2","first_page":"3","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.8409000039100647,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.8409000039100647,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.8162999749183655,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.794700026512146,"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":0.901982843875885},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6979506015777588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6681787967681885},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.6190710067749023},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.6166533827781677},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5756019949913025},{"id":"https://openalex.org/keywords/gene-expression-programming","display_name":"Gene expression programming","score":0.5640829801559448},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.5547220706939697},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.5527396202087402},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.548378050327301},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5308243632316589},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48954376578330994},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47440195083618164},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.440984308719635},{"id":"https://openalex.org/keywords/variable-neighborhood-search","display_name":"Variable neighborhood search","score":0.4340163767337799},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41249412298202515},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3610908091068268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31841251254081726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2430359125137329},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.10165953636169434}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.901982843875885},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6979506015777588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681787967681885},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.6190710067749023},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.6166533827781677},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5756019949913025},{"id":"https://openalex.org/C6980683","wikidata":"https://www.wikidata.org/wiki/Q5531551","display_name":"Gene expression programming","level":2,"score":0.5640829801559448},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.5547220706939697},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.5527396202087402},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.548378050327301},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5308243632316589},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48954376578330994},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47440195083618164},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.440984308719635},{"id":"https://openalex.org/C2776435737","wikidata":"https://www.wikidata.org/wiki/Q7915703","display_name":"Variable neighborhood search","level":3,"score":0.4340163767337799},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41249412298202515},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3610908091068268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31841251254081726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2430359125137329},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.10165953636169434},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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:10.1504/ijcse.2017.10006987","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcse.2017.10006987","pdf_url":null,"source":{"id":"https://openalex.org/S65043351","display_name":"International Journal of Computational Science and Engineering","issn_l":"1742-7185","issn":["1742-7185","1742-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.550000011920929,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2411038988","https://openalex.org/W2369791393","https://openalex.org/W1975195692","https://openalex.org/W2794209582","https://openalex.org/W2361039964","https://openalex.org/W4367295867","https://openalex.org/W3040519971","https://openalex.org/W2109986907","https://openalex.org/W2023363400","https://openalex.org/W2085801246"],"abstract_inverted_index":{"The":[0,108],"clustering":[1,28,55,63,81],"algorithm":[2,64,119],"is":[3,69],"considered":[4],"as":[5,23],"an":[6],"important":[7],"and":[8,41,79,96,105],"basic":[9],"method":[10],"in":[11,52,71,120],"the":[12,53,89,100,115,118],"field":[13],"of":[14,26,48,76,94,102,114,117],"data":[15,90],"mining":[16],"on":[17,88],"interdisciplinary":[18],"researches.":[19],"Various":[20],"problems":[21],"such":[22],"sensitive":[24],"selection":[25],"initial":[27],"centre,":[29],"easy":[30],"to":[31],"fall":[32],"into":[33],"local":[34],"optimal":[35],"solution,":[36],"poor":[37],"universal":[38],"search":[39],"capacity":[40],"requiring":[42],"prior":[43,86],"knowledge":[44,87],"for":[45,85,99],"determining":[46],"numbers":[47],"clusters":[49,95],"still":[50],"exist":[51],"traditional":[54],"algorithm.":[56],"A":[57],"gene":[58],"expression":[59],"programming":[60],"(GEP)":[61],"automatic":[62,92],"with":[65],"variable":[66],"penalty":[67,77],"factors":[68,78],"adopted":[70],"this":[72,121],"paper,":[73],"featuring":[74],"combination":[75],"GEP":[80],"algorithm,":[82],"no":[83],"requirements":[84],"set,":[91],"division":[93],"better":[97],"solution":[98],"impact":[101],"isolated":[103],"points":[104],"noise":[106],"points.":[107],"simulation":[109],"experiment":[110],"makes":[111],"further":[112],"proof":[113],"effectiveness":[116],"paper.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
