Cluster Analysis of Business Data

Detalhes bibliográficos
Autor(a) principal: Sousa, Áurea
Data de Publicação: 2014
Outros Autores: 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/10400.3/2852
Resumo: This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
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spelling Cluster Analysis of Business DataCluster AnalysisAffinity CoefficientVL MethodologyComplex DataGlobal Statistics of LevelsThis journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.In this work, classical as well as probabilistic hierarchical clustering models are used to look for typologies of variables in classical data, typologies of groups of individuals in a classical three-way data table, and typologies of groups of individuals in a symbolic data table. The data are issued from a questionnaire on business area in order to evaluate the quality and satisfaction with the services provided to customers by an automobile company. The Ascendant Hierarchical Cluster Analysis (AHCA) is based, respectively, on the basic affinity coefficient and on extensions of this coefficient for the cases of a classical three-way data table and a symbolic data table, obtained from the weighted generalized affinity coefficient. The probabilistic aggregation criteria used, under the probabilistic approach named VL methodology (V for Validity, L for Linkage), resort essentially to probabilistic notions for the definition of the comparative functions. The validation of the obtained partitions is based on the global statistics of levels (STAT).Asian Online Journals (www.ajouronline.com)Repositório da Universidade dos AçoresSousa, ÁureaBacelar-Nicolau, HelenaSilva, Osvaldo2014-03-05T10:27:34Z2014-022014-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/2852engSousa, Áurea; Bacelar-Nicolau, Helena; Silva, Osvaldo (2014). "Cluster Analysis of Business Data". Asian Online Journals: Asian Journal of Business and Management, 2(1), 18-26. ISSN: 2321 – 2802.2321–2802info: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:RCAAP2022-12-20T14:30:43Zoai:repositorio.uac.pt:10400.3/2852Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:25:30.080430Repositório 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 of Business Data
title Cluster Analysis of Business Data
spellingShingle Cluster Analysis of Business Data
Sousa, Áurea
Cluster Analysis
Affinity Coefficient
VL Methodology
Complex Data
Global Statistics of Levels
title_short Cluster Analysis of Business Data
title_full Cluster Analysis of Business Data
title_fullStr Cluster Analysis of Business Data
title_full_unstemmed Cluster Analysis of Business Data
title_sort Cluster Analysis of Business Data
author Sousa, Áurea
author_facet Sousa, Áurea
Bacelar-Nicolau, Helena
Silva, Osvaldo
author_role author
author2 Bacelar-Nicolau, Helena
Silva, Osvaldo
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Sousa, Áurea
Bacelar-Nicolau, Helena
Silva, Osvaldo
dc.subject.por.fl_str_mv Cluster Analysis
Affinity Coefficient
VL Methodology
Complex Data
Global Statistics of Levels
topic Cluster Analysis
Affinity Coefficient
VL Methodology
Complex Data
Global Statistics of Levels
description This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
publishDate 2014
dc.date.none.fl_str_mv 2014-03-05T10:27:34Z
2014-02
2014-02-01T00:00:00Z
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/10400.3/2852
url http://hdl.handle.net/10400.3/2852
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sousa, Áurea; Bacelar-Nicolau, Helena; Silva, Osvaldo (2014). "Cluster Analysis of Business Data". Asian Online Journals: Asian Journal of Business and Management, 2(1), 18-26. ISSN: 2321 – 2802.
2321–2802
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 Asian Online Journals (www.ajouronline.com)
publisher.none.fl_str_mv Asian Online Journals (www.ajouronline.com)
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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