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Two-mode clustering methods: a structured overview.

Iven Van Mechelen·Hans-Hermann Bock·Paul De Boeck
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Abstract

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.

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Iven Van Mechelen, Hans-Hermann Bock, Paul De Boeck. 2004. Two-mode clustering methods: a structured overview.. https://doi.org/10.1191/0962280204sm373ra

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