A Clusterwise Center and Range Regression Model for Interval-Valued Data

Francisco de A.T. de Carvalho (), Gilbert Saporta () and Danilo N. Queiroz ()
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Francisco de A.T. de Carvalho: Centro de Informática - CIn/UFPE
Gilbert Saporta: Chaire de statistique appliquée & CEDRIC, CNAM
Danilo N. Queiroz: Centro de Informática - CIn/UFPE

A chapter in Proceedings of COMPSTAT'2010, 2010, pp 461-468 from Springer

Abstract: Abstract This paper aims to adapt clusterwise regression to interval-valued data. The proposed approach combines the dynamic clustering algorithm with the center and range regression method for interval-valued data in order to identify both the partition of the data and the relevant regression models, one for each cluster. Experiments with a car interval-valued data set show the usefulness of combining both approaches.

Keywords: clusterwise regression; interval-valued data; symbolic data analysis (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2604-3_45

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DOI: 10.1007/978-3-7908-2604-3_45

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