Brito, PaulaDuarte Silva, A. P.Dias, José G.2014-06-042014-06-042013BRITO, Paula; DUARTE SILVA, A.P.; DIAS, José G. - Probabilistic Clustering of Interval Data. Intelligent Data Analysis. ISSN 1571-4128. (December 2013). 63 p.http://hdl.handle.net/10400.14/14472In this paper we address the problem of clustering interval data, adopting a model-based approach. To this purpose, parametric models for intervalvalued variables are used which consider con gurations for the variancecovariance matrix that take the nature of the interval data directly into account. Results, both on synthetic and empirical data, clearly show the well-founding of the proposed approach. The method succeeds in nding parsimonious heterocedastic models which is a critical feature in many applications. Furthermore, the analysis of the di erent data sets made clear the need to explicitly consider the intrinsic variability present in interval data.engClustering methodsNite mixture modelsInterval-valued variableIntrinsic variabilitySymbolic datajournal article