Clustering an interval data set : are the main partitions similar to a priori partition?

Detalhes bibliográficos
Autor(a) principal: Sousa, Áurea
Data de Publicação: 2015
Outros Autores: Bacelar-Nicolau, Helena, Nicolau, Fernando C., Silva, Osvaldo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.3/3771
Resumo: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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spelling Clustering an interval data set : are the main partitions similar to a priori partition?Hierarchical ClusteringSymbolic DataInterval DataWeighted Generalised Affinity CoefficientProbabilistic Aggregation CriteriaVL MethodologyValidations MeasuresThis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.In this paper we compare the best partitions of data units (cities) obtained from different algorithms of Ascendant Hierarchical Cluster Analysis (AHCA) of a well-known data set of the literature on symbolic data analysis (“city temperature interval data set”) with a priori partition of cities given by a panel of human observers. The AHCA was based on the weighted generalised affinity with equal weights, and on the probabilistic coefficient associated with the asymptotic standardized weighted generalized affinity coefficient by the method of Wald and Wolfowitz. These similarity coefficients between elements were combined with three aggregation criteria, one classical, Single Linkage (SL), and the other ones probabilistic, AV1 and AVB, the last ones in the scope of the VL methodology. The evaluation of the partitions in order to find the partitioning that best fits the underlying data was carried out using some validation measures based on the similarity matrices. In general, global satisfactory results have been obtained using our methods, being the best partitions quite close (or even coinciding) with the a priori partition provided by the panel of human observers.International Journal of Current ResearchRepositório da Universidade dos AçoresSousa, ÁureaBacelar-Nicolau, HelenaNicolau, Fernando C.Silva, Osvaldo2016-05-15T19:24:10Z2015-112015-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/3771engSousa, Áurea; Bacelar-Nicolau, Helena; Nicolau, Fernando C.; Silva, Osvaldo (2015). "Clustering an interval data set: are the main partitions similar to a priori partition?". International Journal of Current Research, Vol. 7, Nº 11, pp. 23151-23157. ISSN: 0975-833X0975-833Xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-20T14:31:55Zoai:repositorio.uac.pt:10400.3/3771Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:26:20.295265Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Clustering an interval data set : are the main partitions similar to a priori partition?
title Clustering an interval data set : are the main partitions similar to a priori partition?
spellingShingle Clustering an interval data set : are the main partitions similar to a priori partition?
Sousa, Áurea
Hierarchical Clustering
Symbolic Data
Interval Data
Weighted Generalised Affinity Coefficient
Probabilistic Aggregation Criteria
VL Methodology
Validations Measures
title_short Clustering an interval data set : are the main partitions similar to a priori partition?
title_full Clustering an interval data set : are the main partitions similar to a priori partition?
title_fullStr Clustering an interval data set : are the main partitions similar to a priori partition?
title_full_unstemmed Clustering an interval data set : are the main partitions similar to a priori partition?
title_sort Clustering an interval data set : are the main partitions similar to a priori partition?
author Sousa, Áurea
author_facet Sousa, Áurea
Bacelar-Nicolau, Helena
Nicolau, Fernando C.
Silva, Osvaldo
author_role author
author2 Bacelar-Nicolau, Helena
Nicolau, Fernando C.
Silva, Osvaldo
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Sousa, Áurea
Bacelar-Nicolau, Helena
Nicolau, Fernando C.
Silva, Osvaldo
dc.subject.por.fl_str_mv Hierarchical Clustering
Symbolic Data
Interval Data
Weighted Generalised Affinity Coefficient
Probabilistic Aggregation Criteria
VL Methodology
Validations Measures
topic Hierarchical Clustering
Symbolic Data
Interval Data
Weighted Generalised Affinity Coefficient
Probabilistic Aggregation Criteria
VL Methodology
Validations Measures
description This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
publishDate 2015
dc.date.none.fl_str_mv 2015-11
2015-11-01T00:00:00Z
2016-05-15T19:24:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.3/3771
url http://hdl.handle.net/10400.3/3771
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sousa, Áurea; Bacelar-Nicolau, Helena; Nicolau, Fernando C.; Silva, Osvaldo (2015). "Clustering an interval data set: are the main partitions similar to a priori partition?". International Journal of Current Research, Vol. 7, Nº 11, pp. 23151-23157. ISSN: 0975-833X
0975-833X
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv International Journal of Current Research
publisher.none.fl_str_mv International Journal of Current Research
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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