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Hierarchical cluster analysis of groups of individuals : application to business data

dc.contributor.authorSousa, Áurea
dc.contributor.authorBacelar-Nicolau, Helena
dc.contributor.authorSilva, Osvaldo
dc.date.accessioned2015-04-28T10:05:15Z
dc.date.available2015-04-28T10:05:15Z
dc.date.issued2014
dc.description3rd SMTDA Conference Proceedings, 11-14 June 2014, Lisbon Portugal.en
dc.description.abstractWe present one example, in which the data are issued from a questionnaire in order to find satisfaction typologies (with the services provided by an automobile company) of independent groups of individuals. The Agglomerative Hierarchical Cluster Analysis (AHCA) was based on two approaches: one based on a particular case of the generalized weighted affinity coefficient, which deals with classical data, and the other one on the weighted generalized affinity coefficient for the case of symbolic/complex data. Both measures of comparison between elements were combined with classical and probabilistic aggregation criteria. We used the global statistics of levels (STAT) to evaluate the quality of the obtained partitions.en
dc.identifier.citationSousa, Áurea; Bacelar-Nicolau, Helena; Silva, Osvaldo (2014). "Hierarchical Cluster Analysis of Groups of Individuals: Application to Business Data ". Proceedings of the 3rd Stochastic Modeling Techniques and Data Analysis International Conference (SMTDA2014), C. H. Skiadas (Eds.), 2014 ISAST, 719-727.por
dc.identifier.isbn978-618-81257-5-9 (Book)
dc.identifier.isbn978-618-81257-6-6 (e-Book)
dc.identifier.urihttp://hdl.handle.net/10400.3/3425
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherISAST - International Society for the Advancement of Science and Technologyen
dc.relation.publisherversionhttp://www.smtda.net/images/1_R-T_SMTDA2014_Proceedings_NEW.pdfpor
dc.subjectHierarchical Cluster Analysisen
dc.subjectAffinity Coefficienten
dc.subjectIndependent Groups of Individualsen
dc.subjectVL Methodologyen
dc.subjectClassical Dataen
dc.subjectSymbolic Dataen
dc.titleHierarchical cluster analysis of groups of individuals : application to business dataen
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FSOC%2F04647%2F2013/PT
oaire.citation.conferencePlaceLisboa, Portugalpor
oaire.citation.endPage727por
oaire.citation.startPage719por
oaire.citation.title3rd Stochastic Modeling Techniques and Data Analysis International Conference (SMTDA2014)en
oaire.fundingStream5876
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isProjectOfPublication4484854b-ac26-43a5-b489-765e7acc0393
relation.isProjectOfPublication.latestForDiscovery4484854b-ac26-43a5-b489-765e7acc0393

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