Two-mode clustering methods: a structured overview
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Updated: Aug 21, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
Iven Van Mechelen1, Hans-Hermann Bock, Paul De Boeck
1Psychology Department, University of Leuven, Tiensestraat 102, B-3000 Leuven, Belgium. iven.vanmechelen@psy.kuleuven.ac.be
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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