A unifying model for biclustering

Iven Van Mechelen and Jan Schepers
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Iven Van Mechelen: Katholieke Universiteit Leuven
Jan Schepers: Katholieke Universiteit Leuven

A chapter in Compstat 2006 - Proceedings in Computational Statistics, 2006, pp 81-88 from Springer

Abstract: Abstract A unifying biclustering model is presented for the simultaneous classification of the rows and columns of a rectangular data matrix. The model encompasses a broad range of (existing as well as to be developed) biclustering models as special cases, which all imply homogeneous data clusters on the basis of which the data can be reconstructed making use of a Sum- or Max-operator. An analysis of the objective or loss function associated with the model leads to two generic algorithmic strategies. In the discussion, we point at various possible model extensions.

Keywords: Loss Function; Unify Model; Data Cluster; Partition Matrix; Hierarchical Classis (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1709-6_7

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DOI: 10.1007/978-3-7908-1709-6_7

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