{"id":"https://openalex.org/W2913653645","doi":"https://doi.org/10.1109/la-cci.2018.8625224","title":"Performance Comparison of Clustering Algorithms to Handle Grouping of City Locations","display_name":"Performance Comparison of Clustering Algorithms to Handle Grouping of City Locations","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2913653645","doi":"https://doi.org/10.1109/la-cci.2018.8625224","mag":"2913653645"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci.2018.8625224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2018.8625224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5072459777","display_name":"Jorge Candeias do Nascimento","orcid":"https://orcid.org/0000-0002-8461-2076"},"institutions":[{"id":"https://openalex.org/I62921916","display_name":"Universidade Federal Rural de Pernambuco","ror":"https://ror.org/02ksmb993","country_code":"BR","type":"education","lineage":["https://openalex.org/I62921916"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jorge Candeias do Nascimento","raw_affiliation_strings":["Federal Rural University of Pernambuco, Recife-PE, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal Rural University of Pernambuco, Recife-PE, Brazil","institution_ids":["https://openalex.org/I62921916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062898997","display_name":"Clodomir Santana","orcid":"https://orcid.org/0000-0001-7869-7184"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Clodomir J. Santana","raw_affiliation_strings":["University of Pernambuco, Recife-PE, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife-PE, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013826168","display_name":"Danilo Ara\u00fajo","orcid":"https://orcid.org/0000-0002-4822-0390"},"institutions":[{"id":"https://openalex.org/I62921916","display_name":"Universidade Federal Rural de Pernambuco","ror":"https://ror.org/02ksmb993","country_code":"BR","type":"education","lineage":["https://openalex.org/I62921916"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Danilo Araujo","raw_affiliation_strings":["Federal Rural University of Pernambuco, Recife-PE, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal Rural University of Pernambuco, Recife-PE, Brazil","institution_ids":["https://openalex.org/I62921916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028876161","display_name":"Carmelo J. A. Bastos-Filho","orcid":"https://orcid.org/0000-0002-0924-5341"},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carmelo J. A. Bastos-Filho","raw_affiliation_strings":["University of Pernambuco, Recife-PE, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife-PE, Brazil","institution_ids":["https://openalex.org/I71437568"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072459777"],"corresponding_institution_ids":["https://openalex.org/I62921916"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1777121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9950000047683716,"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":0.9950000047683716,"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":0.9927999973297119,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8580756783485413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6925859451293945},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.6270809769630432},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5966654419898987},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5616074204444885},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5355724096298218},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5272720456123352},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.48983094096183777},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.48920345306396484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48418763279914856},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.4732266664505005},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.46567365527153015},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4170266389846802},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3987594246864319},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3258405923843384},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09226953983306885}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8580756783485413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6925859451293945},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.6270809769630432},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5966654419898987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5616074204444885},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5355724096298218},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5272720456123352},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.48983094096183777},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.48920345306396484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48418763279914856},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.4732266664505005},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.46567365527153015},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4170266389846802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3987594246864319},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3258405923843384},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09226953983306885},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci.2018.8625224","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2018.8625224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323678","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Ci\u00eancia e Tecnologia do Estado de Pernambuco","ror":"https://ror.org/02te5rf52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1977752700","https://openalex.org/W1987971958","https://openalex.org/W1995450389","https://openalex.org/W2042361197","https://openalex.org/W2113368868","https://openalex.org/W2117059686","https://openalex.org/W2123509976","https://openalex.org/W2127218421","https://openalex.org/W2143381007","https://openalex.org/W2147457514","https://openalex.org/W2167978925","https://openalex.org/W2247167922","https://openalex.org/W2584173621","https://openalex.org/W2786343517","https://openalex.org/W2896284125","https://openalex.org/W2963470891","https://openalex.org/W6658418283","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2892323093","https://openalex.org/W2361242132","https://openalex.org/W2374506950","https://openalex.org/W2353443653","https://openalex.org/W3140018618","https://openalex.org/W2556490192","https://openalex.org/W2383030695","https://openalex.org/W3071522575","https://openalex.org/W2358058270","https://openalex.org/W2596632494"],"abstract_inverted_index":{"The":[0,82,112],"study":[1],"and":[2,35,77,124],"application":[3,36],"of":[4,29,48,56,84,91,132],"clustering":[5,33,50,83],"algorithms":[6,34,51],"in":[7,13,23,37,101,118,129],"real-world":[8,39],"problems":[9],"have":[10],"become":[11],"popular":[12],"the":[14,24,54,73,99,105,109,121],"last":[15],"years.":[16],"As":[17],"a":[18,26,88,116],"result,":[19],"we":[20,44],"can":[21],"find":[22,61],"literature":[25],"crescent":[27],"number":[28],"papers":[30],"with":[31],"different":[32],"several":[38],"problems.":[40],"In":[41],"this":[42,102,130],"paper,":[43],"perform":[45],"an":[46,92],"analysis":[47],"three":[49,122],"to":[52,60,63],"handle":[53],"task":[55],"grouping":[57],"cities":[58],"aiming":[59],"centroids":[62],"serve":[64],"as":[65,108],"locations":[66,86],"for":[67],"designing":[68],"optical":[69,93],"networks.":[70],"We":[71,97],"assessed":[72],"K-means,":[74],"Fuzzy":[75],"C-means,":[76],"Particle":[78],"Swarm":[79],"Clustering":[80],"algorithms.":[81],"city":[85],"is":[87],"preprocessing":[89],"part":[90],"network":[94],"planning":[95],"tool.":[96],"measure":[98],"performance":[100,119],"problem":[103],"using":[104],"Silhouette":[106],"index":[107],"evaluation":[110],"metric.":[111],"results":[113],"obtained":[114],"show":[115],"difference":[117],"between":[120],"algorithms,":[123],"also":[125],"confirms":[126],"their":[127],"applicability":[128],"type":[131],"problem.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}