Clustering of variables with a three-way approach for health sciences

Detalhes bibliográficos
Autor(a) principal: Bacelar-Nicolau, Helena
Data de Publicação: 2014
Outros Autores: Costa Nicolau, Fernando, Sousa, Áurea, Bacelar-Nicolau, Leonor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/24445
Resumo: © 2014 Cises This work is distributed with License Creative Commons Attribution-Non commercial-No derivatives 4.0 International (CC BY-BC-ND 4.0)
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spelling Clustering of variables with a three-way approach for health sciencesThree-way dataInterval variableCluster analysis of variablesSimilarity coefficientHierarchical clustering model© 2014 Cises This work is distributed with License Creative Commons Attribution-Non commercial-No derivatives 4.0 International (CC BY-BC-ND 4.0)Cluster analysis or classification usually concerns a set of exploratory multivariate data analysis methods and techniques for grouping either a set of statistical data units or the associated set of descriptive variables, into clusters of similar and, hopefully, well separated elements. In this work we refer to an extension of this paradigm to generalized three-way data representations and particularly to classification of interval variables. Such approach appears to be especially useful in large data bases, mostly in a data mining context. A health sciences case study is partially discussed.This research was partially supported by ISAMB (Faculty of Medicine, University of Lisbon, Lisbon) and CEEAplA (University of the Azores, Ponta Delgada, Azores).CISESRepositório da Universidade de LisboaBacelar-Nicolau, HelenaCosta Nicolau, FernandoSousa, ÁureaBacelar-Nicolau, Leonor2016-07-21T11:50:32Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/24445engTPM Vol. 21, No. 4, December 2014 – 435-447 – Special Issue1972-632510.4473/TPM21.4.5info: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:RCAAP2023-11-08T16:13:10Zoai:repositorio.ul.pt:10451/24445Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:41:32.358007Repositório 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 of variables with a three-way approach for health sciences
title Clustering of variables with a three-way approach for health sciences
spellingShingle Clustering of variables with a three-way approach for health sciences
Bacelar-Nicolau, Helena
Three-way data
Interval variable
Cluster analysis of variables
Similarity coefficient
Hierarchical clustering model
title_short Clustering of variables with a three-way approach for health sciences
title_full Clustering of variables with a three-way approach for health sciences
title_fullStr Clustering of variables with a three-way approach for health sciences
title_full_unstemmed Clustering of variables with a three-way approach for health sciences
title_sort Clustering of variables with a three-way approach for health sciences
author Bacelar-Nicolau, Helena
author_facet Bacelar-Nicolau, Helena
Costa Nicolau, Fernando
Sousa, Áurea
Bacelar-Nicolau, Leonor
author_role author
author2 Costa Nicolau, Fernando
Sousa, Áurea
Bacelar-Nicolau, Leonor
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Bacelar-Nicolau, Helena
Costa Nicolau, Fernando
Sousa, Áurea
Bacelar-Nicolau, Leonor
dc.subject.por.fl_str_mv Three-way data
Interval variable
Cluster analysis of variables
Similarity coefficient
Hierarchical clustering model
topic Three-way data
Interval variable
Cluster analysis of variables
Similarity coefficient
Hierarchical clustering model
description © 2014 Cises This work is distributed with License Creative Commons Attribution-Non commercial-No derivatives 4.0 International (CC BY-BC-ND 4.0)
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
2016-07-21T11:50:32Z
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/10451/24445
url http://hdl.handle.net/10451/24445
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv TPM Vol. 21, No. 4, December 2014 – 435-447 – Special Issue
1972-6325
10.4473/TPM21.4.5
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 CISES
publisher.none.fl_str_mv CISES
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
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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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