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The Generic Subspace Clustering Model

In: Proceedings of COMPSTAT'2010

Author

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  • Marieke E. Timmerman

    (University of Groningen, Heymans Institute for Psychology)

  • Eva Ceulemans

    (Catholic University of Leuven, Centre for Methodology of Educational Research)

Abstract

In this paper we present an overview of methods for clustering high dimensional data in which the objects are assigned to mutually exclusive classes in low dimensional spaces. To this end, we will introduce the generic subspace clustering model. This model will be shown to encompass a range of existing clustering techniques as special cases. As such, further insight is obtained into the characteristics of these techniques and into their mutual relationships. This knowledge facilitates selecting the most appropriate model variant in empirical practice.

Suggested Citation

  • Marieke E. Timmerman & Eva Ceulemans, 2010. "The Generic Subspace Clustering Model," Springer Books, in: Yves Lechevallier & Gilbert Saporta (ed.), Proceedings of COMPSTAT'2010, pages 359-367, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2604-3_33
    DOI: 10.1007/978-3-7908-2604-3_33
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