{"id":"https://openalex.org/W3011945518","doi":"https://doi.org/10.1109/la-cci47412.2019.9036754","title":"Hierarchical Cluster Analysis of Interval-valued Data Using Width of Range Euclidean Distance","display_name":"Hierarchical Cluster Analysis of Interval-valued Data Using Width of Range Euclidean Distance","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3011945518","doi":"https://doi.org/10.1109/la-cci47412.2019.9036754","mag":"3011945518"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci47412.2019.9036754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci47412.2019.9036754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5057551696","display_name":"S\u00e9rgio M\u00e1rio Lins Galdino","orcid":"https://orcid.org/0000-0001-9087-629X"},"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":true,"raw_author_name":"Sergio Galdino","raw_affiliation_strings":["Polytechnic School, University of Pernambuco"],"affiliations":[{"raw_affiliation_string":"Polytechnic School, University of Pernambuco","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054133174","display_name":"Paulo Maciel","orcid":"https://orcid.org/0000-0003-3159-6065"},"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":"Paulo Maciel","raw_affiliation_strings":["Center of Informatics, Federal University of Pernambuco"],"affiliations":[{"raw_affiliation_string":"Center of Informatics, Federal University of Pernambuco","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057551696"],"corresponding_institution_ids":["https://openalex.org/I71437568"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60617362,"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/T10320","display_name":"Neural Networks and Applications","score":0.9958999752998352,"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/T10320","display_name":"Neural Networks and Applications","score":0.9958999752998352,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/euclidean-distance","display_name":"Euclidean distance","score":0.7726691961288452},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.7004767656326294},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6840065717697144},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6404314041137695},{"id":"https://openalex.org/keywords/interval-data","display_name":"Interval data","score":0.6385542154312134},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6358897686004639},{"id":"https://openalex.org/keywords/linkage","display_name":"Linkage (software)","score":0.6129035353660583},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.5686471462249756},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5356573462486267},{"id":"https://openalex.org/keywords/symbolic-data-analysis","display_name":"Symbolic data analysis","score":0.48298943042755127},{"id":"https://openalex.org/keywords/complete-linkage-clustering","display_name":"Complete-linkage clustering","score":0.4804539084434509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47042322158813477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4561237394809723},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4072374105453491},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35337352752685547},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2304164469242096},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22972282767295837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20761415362358093},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.1809992492198944},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.1702653467655182},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.09017455577850342},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07697266340255737}],"concepts":[{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.7726691961288452},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.7004767656326294},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6840065717697144},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6404314041137695},{"id":"https://openalex.org/C2983220686","wikidata":"https://www.wikidata.org/wiki/Q951437","display_name":"Interval data","level":3,"score":0.6385542154312134},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6358897686004639},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.6129035353660583},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.5686471462249756},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5356573462486267},{"id":"https://openalex.org/C65620979","wikidata":"https://www.wikidata.org/wiki/Q7661176","display_name":"Symbolic data analysis","level":2,"score":0.48298943042755127},{"id":"https://openalex.org/C23822008","wikidata":"https://www.wikidata.org/wiki/Q5156437","display_name":"Complete-linkage clustering","level":5,"score":0.4804539084434509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47042322158813477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4561237394809723},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4072374105453491},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35337352752685547},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2304164469242096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22972282767295837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20761415362358093},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.1809992492198944},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.1702653467655182},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.09017455577850342},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07697266340255737},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci47412.2019.9036754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci47412.2019.9036754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1482555119","https://openalex.org/W1507872748","https://openalex.org/W1521463944","https://openalex.org/W1580809199","https://openalex.org/W1593696690","https://openalex.org/W1674974951","https://openalex.org/W2004925710","https://openalex.org/W2007961939","https://openalex.org/W2049017883","https://openalex.org/W2479531384","https://openalex.org/W2587184180"],"related_works":["https://openalex.org/W1493637077","https://openalex.org/W2157179134","https://openalex.org/W2569013970","https://openalex.org/W3004745571","https://openalex.org/W1656319659","https://openalex.org/W2183361621","https://openalex.org/W2592952084","https://openalex.org/W2102430460","https://openalex.org/W3011945518","https://openalex.org/W2205661460"],"abstract_inverted_index":{"In":[0],"this":[1,32],"paper,":[2],"we":[3],"deal":[4],"with":[5],"hierarchical":[6,20],"clustering":[7,21],"for":[8,22,49],"interval-valued":[9,23,41],"data.":[10,17,36],"Interval-valued":[11],"data":[12],"is":[13],"typical":[14],"of":[15,26,39,51,55],"symbolic":[16],"We":[18],"propose":[19],"using":[24],"Width":[25],"Range":[27],"Euclidean":[28],"Distance,":[29],"and":[30,44],"apply":[31],"methods":[33,46],"to":[34],"real":[35],"Different":[37],"combinations":[38],"representative":[40],"distance":[42],"measures":[43],"linkage":[45,57],"are":[47],"best":[48],"clusters":[50],"particular":[52],"shapes.":[53],"Each":[54],"these":[56],"algorithms":[58],"can":[59],"yield":[60],"totally":[61],"different":[62],"results":[63],"when":[64],"used":[65],"on":[66],"the":[67],"same":[68],"dataset,":[69],"as":[70],"each":[71],"has":[72],"its":[73],"specic":[74],"properties.":[75]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
