Title: Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method
Authors: Ceulemans, Eva ×
Kiers, HAL #
Issue Date: May-2006
Publisher: J. Wright & Sons
Series Title: British Journal of Mathematical and Statistical Psychology vol:59 pages:133-150
Abstract: Several three-mode principal component models can be considered for the modelling of three-way, three-mode data, including the Candecomp/Parafac, Tucker3, Tucker2, and Tucker I models. The following question then may be raised: given a specific data set, which of these models should be selected, and at what complexity (i.e. with how many components)? We address this question by proposing a numerical model selection heuristic based on a convex hull. Simulation results show that this heuristic performs almost perfectly, except for Tucker3 data arrays with at least one small mode and a relatively large amount of error.
ISSN: 0007-1102
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Quantitative Psychology and Individual Differences
Methodology of Educational Sciences
× corresponding author
# (joint) last author

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