BRITO, Paula; CHAVENT, Marie

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BRITO, Paula
Universidade do Porto - Faculdade de Economia & LIAAD-INESC TEC [FEP - UP]

CHAVENT, Marie
Quality control and dynamic reliability [CQFD]

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Communication dans un congrès

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ICPRAM (1), ICPRAM (1), ICPRAM 2012 - 1st International Conference on Pattern Recognition Applications and Methods, 2012-02-06. 2012p. 229-234

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In this paper we propose a divisive top-down clustering method designed for interval and histogram-valued data. The method provides a hierarchy on a set of objects together with a monothetic characterization of each formed cluster. At each step, a cluster is split so as to minimize intra-cluster dispersion, which is measured using a distance suitable for the considered variable types. The criterion is minimized across the bipartitions induced by a set of binary questions. Since interval-valued variables may be considered a special case of histogram-valued variables, the method applies to data described by either kind of variables, or by variables of both types. An example illustrates the proposed approach.< Réduire

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Divisive Monothetic Clustering for Interval and Histogram-valued Data

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