Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles

Sousa, Áurea; Nicolau, Fernando C.; Bacelar-Nicolau, Helena; Silva, Osvaldo

http://hdl.handle.net/10400.3/3412

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Authors

Sousa, Áurea

Nicolau, Fernando C.

Bacelar-Nicolau, Helena

Silva, Osvaldo

Abstract(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).

Description

International Scientific Forum, ISF 2013, ISF 2013, 12-14 December 2013, Tirana.

Keywords

Cluster Analysis Affinity Coefficient VL Methodology Complex Data Validation Measures

URI

http://hdl.handle.net/10400.3/3412

Citation

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).