Clustering of Symbolic Data based on Affinity Coefficient: Application to a Rea...

• Autor(es): Sousa, Áurea ; Bacelar-Nicolau, Helena ; Nicolau, Fernando C. ; Silva, Osvaldo
• Data: 2013
• Identificador Persistente: http://hdl.handle.net/10400.3/2660
• Origem: Repositório da Universidade dos Açores
• Assunto(s): Ascendant Hierarchical Cluster Analysis; Symbolic Data; Interval Data; Affinity Coefficient; VL Methodology
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

Copyright © 2013 Walter de Gruyter GmbH. In this paper, we illustrate an application of Ascendant Hierarchical Cluster Analysis (AHCA) to complex data taken from the literature (interval data), based on the standardized weighted generalized affinity coefficient, by the method of Wald and Wolfowitz. The probabilistic aggregation criteria used belong to a parametric family of methods under the probabilistic approach of AHCA, named VL methodology. Finally, we compare the results achieved using our approach with those obtained by other authors.