Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles

Detalhes bibliográficos
Autor(a) principal: Sousa, Áurea
Data de Publicação: 2014
Outros Autores: Nicolau, Fernando C., Bacelar-Nicolau, Helena, 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/10400.3/3412
Resumo: International Scientific Forum, ISF 2013, ISF 2013, 12-14 December 2013, Tirana.
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spelling Cluster analysis using affinity aoefficient in order to identify religious beliefs profilesCluster AnalysisAffinity CoefficientVL MethodologyComplex DataValidation MeasuresInternational Scientific Forum, ISF 2013, ISF 2013, 12-14 December 2013, Tirana.We present an application of Ascendant Hierarchical Cluster Analysis (AHCA) to a dataset related to religion, in order to find a typology of religious beliefs profiles of individuals who live on São Miguel island (Azores) according to the frequency they go to the Mass. AHCA was based on the weighted generalized affinity coefficient for symbolic or complex data, and on classical and probabilistic aggregation criteria; the probabilistic ones belong to a parametric family of methods in the scope of the VL methodology. Additionally, we applied some validation measures (based on the values of the proximity matrix and adapted for the case of similarity measures) to evaluate the obtained results (clusters and partitions).European Scientific Institute (www.eujournal.org)Repositório da Universidade dos AçoresSousa, ÁureaNicolau, Fernando C.Bacelar-Nicolau, HelenaSilva, Osvaldo2015-04-23T15:56:47Z2014-022014-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/3412engSousa, Áurea; Nicolau, Fernando C.; Bacelar-Nicolau, Helena; Silva, Osvaldo (2014). "Cluster Analysis using Affinity Coefficient in order to identify Religious Beliefs Profiles". European Scientific Journal (ESJ), February 2014 /Special/Edition (3), 252-261, ISSN: 1857-7881 (Print), 1857-7431 (Online).1857-7881 (Print)info: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:RCAAP2022-12-20T14:31:27Zoai:repositorio.uac.pt:10400.3/3412Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:25:59.561822Repositório 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 Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
title Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
spellingShingle Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
Sousa, Áurea
Cluster Analysis
Affinity Coefficient
VL Methodology
Complex Data
Validation Measures
title_short Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
title_full Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
title_fullStr Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
title_full_unstemmed Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
title_sort Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
author Sousa, Áurea
author_facet Sousa, Áurea
Nicolau, Fernando C.
Bacelar-Nicolau, Helena
Silva, Osvaldo
author_role author
author2 Nicolau, Fernando C.
Bacelar-Nicolau, Helena
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
Nicolau, Fernando C.
Bacelar-Nicolau, Helena
Silva, Osvaldo
dc.subject.por.fl_str_mv Cluster Analysis
Affinity Coefficient
VL Methodology
Complex Data
Validation Measures
topic Cluster Analysis
Affinity Coefficient
VL Methodology
Complex Data
Validation Measures
description International Scientific Forum, ISF 2013, ISF 2013, 12-14 December 2013, Tirana.
publishDate 2014
dc.date.none.fl_str_mv 2014-02
2014-02-01T00:00:00Z
2015-04-23T15:56:47Z
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/10400.3/3412
url http://hdl.handle.net/10400.3/3412
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sousa, Áurea; Nicolau, Fernando C.; Bacelar-Nicolau, Helena; Silva, Osvaldo (2014). "Cluster Analysis using Affinity Coefficient in order to identify Religious Beliefs Profiles". European Scientific Journal (ESJ), February 2014 /Special/Edition (3), 252-261, ISSN: 1857-7881 (Print), 1857-7431 (Online).
1857-7881 (Print)
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 European Scientific Institute (www.eujournal.org)
publisher.none.fl_str_mv European Scientific Institute (www.eujournal.org)
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
repository.mail.fl_str_mv
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