Clustering supermarkets: the role of experts

Detalhes bibliográficos
Autor(a) principal: Armando B. Mendes
Data de Publicação: 2006
Outros Autores: Cardoso, M. G. M. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/22067
Resumo: This work is part of a supermarket chain expansion study and is intended to cluster the existent outlets in order to support the evaluation of outlet performance and new outlet site location. To overcome the curse of dimensionality (a large number of attributes for a very small number of existing outlets) experts’ knowledge is considered in the clustering process. Three alternative approaches are compared for this end, the experts being required to: (1) a priori: provide values for perceived dissimilarities between pairs of outlets; (2) a posteriori: evaluate results from alternative regression trees; (3) interactively: help to select base variables and evaluate results from alternative dendrograms. The later approach provided the best results according to the marketing experts.
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spelling Clustering supermarkets: the role of expertsClusteringExternal validationExperts knowledge integrationThis work is part of a supermarket chain expansion study and is intended to cluster the existent outlets in order to support the evaluation of outlet performance and new outlet site location. To overcome the curse of dimensionality (a large number of attributes for a very small number of existing outlets) experts’ knowledge is considered in the clustering process. Three alternative approaches are compared for this end, the experts being required to: (1) a priori: provide values for perceived dissimilarities between pairs of outlets; (2) a posteriori: evaluate results from alternative regression trees; (3) interactively: help to select base variables and evaluate results from alternative dendrograms. The later approach provided the best results according to the marketing experts.Elsevier2021-02-18T11:04:00Z2006-01-01T00:00:00Z20062021-02-18T11:02:21Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/22067eng0969-698910.1016/j.jretconser.2004.11.005Armando B. MendesCardoso, M. G. M. S.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:RCAAP2023-07-25T17:27:05ZPortal AgregadorONG
dc.title.none.fl_str_mv Clustering supermarkets: the role of experts
title Clustering supermarkets: the role of experts
spellingShingle Clustering supermarkets: the role of experts
Armando B. Mendes
Clustering
External validation
Experts knowledge integration
title_short Clustering supermarkets: the role of experts
title_full Clustering supermarkets: the role of experts
title_fullStr Clustering supermarkets: the role of experts
title_full_unstemmed Clustering supermarkets: the role of experts
title_sort Clustering supermarkets: the role of experts
author Armando B. Mendes
author_facet Armando B. Mendes
Cardoso, M. G. M. S.
author_role author
author2 Cardoso, M. G. M. S.
author2_role author
dc.contributor.author.fl_str_mv Armando B. Mendes
Cardoso, M. G. M. S.
dc.subject.por.fl_str_mv Clustering
External validation
Experts knowledge integration
topic Clustering
External validation
Experts knowledge integration
description This work is part of a supermarket chain expansion study and is intended to cluster the existent outlets in order to support the evaluation of outlet performance and new outlet site location. To overcome the curse of dimensionality (a large number of attributes for a very small number of existing outlets) experts’ knowledge is considered in the clustering process. Three alternative approaches are compared for this end, the experts being required to: (1) a priori: provide values for perceived dissimilarities between pairs of outlets; (2) a posteriori: evaluate results from alternative regression trees; (3) interactively: help to select base variables and evaluate results from alternative dendrograms. The later approach provided the best results according to the marketing experts.
publishDate 2006
dc.date.none.fl_str_mv 2006-01-01T00:00:00Z
2006
2021-02-18T11:04:00Z
2021-02-18T11:02:21Z
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/10071/22067
url http://hdl.handle.net/10071/22067
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0969-6989
10.1016/j.jretconser.2004.11.005
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 Elsevier
publisher.none.fl_str_mv Elsevier
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)
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repository.mail.fl_str_mv
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