Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.3/3412
Título: Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
Autor: Sousa, Áurea
Nicolau, Fernando C.
Bacelar-Nicolau, Helena
Silva, Osvaldo
Palavras-chave: Cluster Analysis
Affinity Coefficient
VL Methodology
Complex Data
Validation Measures
Data: Fev-2014
Editora: European Scientific Institute (www.eujournal.org)
Citação: 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).
Resumo: 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).
Descrição: International Scientific Forum, ISF 2013, ISF 2013, 12-14 December 2013, Tirana.
Peer review: yes
URI: http://hdl.handle.net/10400.3/3412
ISSN: 1857-7881 (Print)
1857-7431 (Online)
Versão do Editor: http://eujournal.org/index.php/esj/article/viewFile/2943/2772
Aparece nas colecções:DME - Artigos em Revistas Internacionais / Articles in International Journals

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