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Publicação
Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles
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Orientador(es)
Resumo(s)
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.
Palavras-chave
Cluster Analysis Affinity Coefficient VL Methodology Complex Data Validation Measures
Contexto Educativo
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).
Editora
European Scientific Institute (www.eujournal.org)