{"id":"https://openalex.org/W2979604039","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8859017","title":"A new fuzzy clustering algorithm for interval-valued data based on City-Block distance","display_name":"A new fuzzy clustering algorithm for interval-valued data based on City-Block distance","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2979604039","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8859017","mag":"2979604039"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2019.8859017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8859017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5103954603","display_name":"Sara In\u00e9s Rizo Rodr\u00edguez","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Sara Ines Rizo Rodriguez","raw_affiliation_strings":["Centro de Inform\u00e1tica - CIn, Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica - CIn, Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079004987","display_name":"Francisco de A.T. de Carvalho","orcid":"https://orcid.org/0000-0003-1128-745X"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco de Assis Tenorio de Carvalho","raw_affiliation_strings":["Centro de Inform\u00e1tica - CIn, Universidade Federal de Pernambuco, Recife, Brazil"],"affiliations":[{"raw_affiliation_string":"Centro de Inform\u00e1tica - CIn, Universidade Federal de Pernambuco, Recife, Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103954603"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75440983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"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":0.9914000034332275,"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":0.9914000034332275,"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/T10320","display_name":"Neural Networks and Applications","score":0.9778000116348267,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9704999923706055,"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/interval","display_name":"Interval (graph theory)","score":0.6061059832572937},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.588236927986145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5640602707862854},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5517982840538025},{"id":"https://openalex.org/keywords/interval-data","display_name":"Interval data","score":0.5435822010040283},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5147919654846191},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4914156198501587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48573023080825806},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4794832170009613},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.46710339188575745},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4598013758659363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.444812536239624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22484183311462402}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6061059832572937},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.588236927986145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5640602707862854},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5517982840538025},{"id":"https://openalex.org/C2983220686","wikidata":"https://www.wikidata.org/wiki/Q951437","display_name":"Interval data","level":3,"score":0.5435822010040283},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5147919654846191},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4914156198501587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48573023080825806},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4794832170009613},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.46710339188575745},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4598013758659363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.444812536239624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22484183311462402},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2019.8859017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8859017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W39597342","https://openalex.org/W1549853718","https://openalex.org/W1594924988","https://openalex.org/W1970636524","https://openalex.org/W1989946714","https://openalex.org/W1990263288","https://openalex.org/W1992419399","https://openalex.org/W2007961939","https://openalex.org/W2017688772","https://openalex.org/W2034024435","https://openalex.org/W2050667271","https://openalex.org/W2087916849","https://openalex.org/W2113076747","https://openalex.org/W2148603752","https://openalex.org/W2607931573","https://openalex.org/W2620966310","https://openalex.org/W2999729612","https://openalex.org/W4235169531","https://openalex.org/W6601540287"],"related_works":["https://openalex.org/W115577841","https://openalex.org/W2032833645","https://openalex.org/W4256681807","https://openalex.org/W2039872098","https://openalex.org/W2338920004","https://openalex.org/W2232227265","https://openalex.org/W2045103335","https://openalex.org/W4232843823","https://openalex.org/W2205126926","https://openalex.org/W3139960064"],"abstract_inverted_index":{"Interval-valued":[0,37],"data":[1,38,70],"are":[2],"needed,":[3],"for":[4,68,131,135],"example,":[5],"when":[6],"an":[7,109],"object":[8],"represents":[9],"a":[10,24,35,62],"group":[11],"of":[12,34,82,95,120,150],"individuals":[13],"and":[14,98,141,148],"the":[15,28,32,80,83,87,96,118,123,132,146,151],"variables":[16,84,134],"used":[17],"to":[18,22,31,86,104,116],"describe":[19],"it":[20],"need":[21],"assume":[23],"value":[25],"which":[26],"expresses":[27],"variability":[29],"inherent":[30],"description":[33],"group.":[36],"arise":[39],"in":[40],"practical":[41],"situations":[42],"such":[43],"as":[44,126,128],"recording":[45],"monthly":[46],"interval":[47,53],"temperatures":[48],"at":[49,92],"meteorological":[50],"stations,":[51],"daily":[52],"stock":[54],"prices,":[55],"etc.":[56],"In":[57],"this":[58],"paper":[59],"is":[60,99],"proposed":[61,152],"robust":[63],"partitioning":[64],"fuzzy":[65,124],"clustering":[66],"algorithm":[67,97],"interval-valued":[69,133,143],"based":[71],"on":[72,139],"adaptive":[73],"City-Block":[74],"distance":[75,90],"that":[76],"takes":[77],"into":[78],"account":[79],"relevance":[81,129],"according":[85],"boundaries.":[88],"This":[89],"changes":[91],"each":[93,121,136],"iteration":[94],"different":[100],"from":[101],"one":[102],"cluster":[103],"another.":[105],"The":[106],"method":[107],"optimizes":[108],"objective":[110],"function":[111],"by":[112],"alternating":[113],"three":[114],"steps":[115],"compute":[117],"representatives":[119],"group,":[122],"partition,":[125],"well":[127],"weights":[130],"boundary.":[137],"Experiments":[138],"synthetic":[140],"real":[142],"datasets":[144],"corroborate":[145],"usefulness":[147],"robustness":[149],"algorithm.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
