title: Two-mode clustering methods: a structured overview.
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.
authors.affiliation: Psychology Department, University of Leuven, Tiensestraat 102, B-3000 Leuven, Belgium. iven.vanmechelen@psy.kuleuven.ac.be
authors.forename: Iven
authors.initials: I
authors.lastname: Van Mechelen
authors.forename: Hans-Hermann
authors.initials: HH
authors.lastname: Bock
authors.forename: Paul
authors.initials: P
authors.lastname: De Boeck
mesh_terms: D016000:Cluster Analysis; D006801:Humans; D011570:Psychiatry