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Two-mode clustering methods: astructuredoverview

KU Leuven, Belgium, iven.vanmechelen{at}psy.kuleuven.ac.be

Hans-Hermann Bock

RWTH, Aachen, Germany

Paul De Boeck

KU Leuven, Belgium

In this paper we present a structured overview of methods for two-mode clustering, that is, methods that provide a simultaneous clustering of the rows and columns of a rectangular data matrix. Key structuring principles include the nature of row, column and data clusters and the type of model structure or associated loss function. We illustrate with analyses of symptom data on archetypal psychiatric patients.

Statistical Methods in Medical Research, Vol. 13, No. 5, 363-394 (2004)
DOI: 10.1191/0962280204sm373ra


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