Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.3/3425
Título: Hierarchical cluster analysis of groups of individuals : application to business data
Autor: Sousa, Áurea
Bacelar-Nicolau, Helena
Silva, Osvaldo
Palavras-chave: Hierarchical Cluster Analysis
Affinity Coefficient
Independent Groups of Individuals
VL Methodology
Classical Data
Symbolic Data
Data: 2014
Editora: ISAST - International Society for the Advancement of Science and Technology
Citação: Sousa, 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.
Resumo: We 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.
Descrição: 3rd SMTDA Conference Proceedings, 11-14 June 2014, Lisbon Portugal.
Peer review: yes
URI: http://hdl.handle.net/10400.3/3425
ISBN: 978-618-81257-5-9 (Book)
978-618-81257-6-6 (e-Book)
Versão do Editor: http://www.smtda.net/images/1_R-T_SMTDA2014_Proceedings_NEW.pdf
Aparece nas colecções:CICS/A - Comunicações a Conferências / ConferenceItem
DME - Comunicações a Conferências / ConferenceItem

Ficheiros deste registo:
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Sousa et al._1_R-T_SMTDA2014_pp. 719_727.pdfArtigo271,27 kBAdobe PDFVer/Abrir
Sousa et al. _Abstract_SMTDA_2014_p. 176-177.pdfAbstract1,37 MBAdobe PDFVer/Abrir

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