{"id":"https://openalex.org/W2810860103","doi":"https://doi.org/10.13053/cys-22-2-2548","title":"An Efficient Heuristic Applied to the K-means Algorithm for the Clustering of Large Highly-Grouped Instances","display_name":"An Efficient Heuristic Applied to the K-means Algorithm for the Clustering of Large Highly-Grouped Instances","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2810860103","doi":"https://doi.org/10.13053/cys-22-2-2548","mag":"2810860103"},"language":"en","primary_location":{"id":"doi:10.13053/cys-22-2-2548","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-22-2-2548","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","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/A5027279057","display_name":"Joaqu\u00edn P\u00e9rez-Ortega","orcid":"https://orcid.org/0000-0002-5138-7984"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joaqu\u00edn P\u00e9rez-Ortega","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101917244","display_name":"Miguel Hidalgo","orcid":"https://orcid.org/0000-0001-8303-6030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miguel Hidalgo-Reyes","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051606070","display_name":"No\u00e9 Alejandro Castro-S\u00e1nchez","orcid":"https://orcid.org/0000-0002-8083-3891"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"No\u00e9 Alejandro Castro-S\u00e1nchez","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027691585","display_name":"Rodolfo Pazos-Rangel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rodolfo Pazos-Rangel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043186381","display_name":"Ocotl\u00e1n D\u00edaz-Parra","orcid":"https://orcid.org/0000-0002-8740-3747"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ocotl\u00e1n D\u00edaz-Parra","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076359231","display_name":"V. H. Olivares-Peregrino","orcid":"https://orcid.org/0000-0002-5214-4984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V\u00edctor Olivares-Peregrino","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091372108","display_name":"Nelva Nely Almanza-Ortega","orcid":"https://orcid.org/0000-0002-5885-7635"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nelva Almanza-Ortega","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5027279057"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.06780917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"22","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":0.9926000237464905,"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":0.9926000237464905,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9904999732971191,"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":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.7674921751022339},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.7243423461914062},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6508932113647461},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6215962767601013},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6093044281005859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5817143321037292},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5529228448867798},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5486593246459961},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4323185086250305},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.43083593249320984},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.41982564330101013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3321712017059326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2202635109424591}],"concepts":[{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7674921751022339},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7243423461914062},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6508932113647461},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6215962767601013},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6093044281005859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5817143321037292},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5529228448867798},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5486593246459961},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4323185086250305},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.43083593249320984},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.41982564330101013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3321712017059326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2202635109424591},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.13053/cys-22-2-2548","is_oa":false,"landing_page_url":"https://doi.org/10.13053/cys-22-2-2548","pdf_url":null,"source":{"id":"https://openalex.org/S61446325","display_name":"Computaci\u00f3n y Sistemas","issn_l":"1405-5546","issn":["1405-5546","2007-9737"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319599","host_organization_name":"National Polytechnic Institute","host_organization_lineage":["https://openalex.org/P4310319599"],"host_organization_lineage_names":["National Polytechnic Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computaci\u00f3n y Sistemas","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"Con":[0],"la":[1,10,46,51,78,130,164],"presencia":[2],"cada":[3,104,189],"vez":[4,190],"mayor":[5],"de":[6,12,21,23,34,54,60,63,83,88,98,100,113,120,122,129,142,153,163,192],"Big":[7],"Data":[8],"surge":[9],"necesidad":[11],"agrupar":[13],"grandes":[14],"instancias.":[15],"Estas":[16],"instancias":[17,55,114,140,186],"presentan":[18],"un":[19,57,111,124],"n\u00famero":[20,59,82,87,97],"objetos":[22],"naturaleza":[24],"multidimensional,":[25],"los":[26],"cuales":[27],"requieren":[28,185],"agruparse":[29],"en":[30,77],"cientos":[31],"o":[32],"miles":[33],"grupos.":[35,196],"En":[36],"este":[37],"art\u00edculo":[38],"se":[39,69,108],"presenta":[40],"una":[41,92,149,161],"mejora":[42],"al":[43,133],"algoritmo":[44],"K-means,":[45],"cual":[47],"est\u00e1":[48,75],"orientada":[49],"a":[50,136,181],"soluci\u00f3n":[52],"eficiente":[53],"con":[56,127,160,187],"gran":[58],"grupos":[61],"y":[62,74,85,126,144,157,159,169,195],"dimensiones.":[64],"A":[65],"dicha":[66],"mejor":[67],"heur\u00edstica":[68,107,179],"le":[70],"denomina":[71],"Honeycomb":[72],"(HC)":[73],"basada":[76],"relaci\u00f3n":[79],"entre":[80,155,166],"el":[81,86,96,167],"dimensiones":[84,194],"centroides":[89],"que":[90,184],"conforman":[91],"vecindad,":[93],"permitiendo":[94],"reducir":[95],"c\u00e1lculos":[99],"distancias":[101],"objeto-centroide":[102],"para":[103],"objeto.":[105],"La":[106],"valid\u00f3":[109],"resolviendo":[110],"conjunto":[112],"sint\u00e9ticas":[115],"obteniendo":[116],"reducciones":[117],"del":[118,151],"tiempo":[119,152],"ejecuci\u00f3n":[121,154],"hasta":[123],"90%":[125],"disminuci\u00f3n":[128],"calidad":[131,165],"menor":[132],"1%,":[134],"respecto":[135],"K-means":[137],"est\u00e1ndar.":[138],"Para":[139],"reales":[141],"baja":[143],"alta":[145],"dimensionalidad,":[146],"HC":[147],"obtuvo":[148],"reducci\u00f3n":[150,162],"84.74%":[156],"95.44%":[158],"1.07%":[168],"1.62%,":[170],"respectivamente.":[171],"Los":[172],"resultados":[173],"experimentales":[174],"son":[175],"alentadores":[176],"porque":[177],"esta":[178],"beneficiar\u00eda":[180],"aquellos":[182],"dominios":[183],"valores":[188],"mayores":[191],"objetos,":[193]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}