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

In: Proceedings of COMPSTAT'2010

Author

Listed:
  • 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)

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.

Suggested Citation

  • Francisco de A.T. de Carvalho & Gilbert Saporta & Danilo N. Queiroz, 2010. "A Clusterwise Center and Range Regression Model for Interval-Valued Data," Springer Books, in: Yves Lechevallier & Gilbert Saporta (ed.), Proceedings of COMPSTAT'2010, pages 461-468, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2604-3_45
    DOI: 10.1007/978-3-7908-2604-3_45
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