Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/4064
Title: Defining the subjects distance in hierarchical cluster analysis by copula approach
Authors: Bonanomi, Andrea
Nai Ruscone, Marta
Osmetti, Silvia Angela
Issue Date: 2016
Publisher: Cuec
Bibliographic citation: Bonanomi Andrea, Nai Ruscone Marta, Osmetti Silvia Angela (2016), Defining the subjects distance in hierarchical cluster analysis by copula approach. In: Mola Francesco, Conversano Claudio, ed., Cladag 2015: 10th Scientific meeting of the classification and data analysis group of the Italian statistical society: Flamingo Resort, Santa Margherita di Pula, October 8-10, 2015: book of abstracts. Cagliari: Cuec, p. 582-587. ISBN 978-88-8467-949-9.
Abstract: We propose a new measure to evaluate the dissimilarity between rankings in hierarchical cluster analysis to segment subjects expressing their preferences by rankings. The proposed index builds upon the Spearman grade correlation coecient on a transformation of the ordinal variables that describes the rankings of the subjects, calculated by the copula function. In particular, in using the copula functions with tail dependence we employ an index suitable for emphasizing the agreement on top ranks, when the top ranks are considered more important than the lower ones. We evaluate the performance of our proposal by an example on selected rankings, showing that the resulting groups contain subjects whose preferences are more similar on the most important, or top, ranks.
URI: http://arl.liuc.it/dspace/handle/2468/4064
Journal/Book: Cladag 2015: 10th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society: Flamingo Resort, Santa Margherita di Pula, October 8-10, 2015: book of abstracts
ISBN: 978-88-8467-949-9
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