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Tucker3 hierarchical classes analysis
Authors:Eva?Ceulemans  author-information"  >  author-information__contact u-icon-before"  >  mailto:Eva.Ceulemans@psy.kuleuven.ac.be"   title="  Eva.Ceulemans@psy.kuleuven.ac.be"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Iven?Van?Mechelen,Iwin?Leenen
Affiliation:(1) Katholieke Universiteity Leuven, Belgium;(2) Department of Psychology, Tiensestraat 102, B-3000 Leuven, Belgium
Abstract:This paper presents a new model for binary three-way three-mode data, called Tucker3 hierarchical classes model (Tucker3-HICLAS). This new model generalizes Leenen, Van Mechelen, De Boeck, and Rosenberg's (1999) individual differences hierarchical classes model (INDCLAS). Like the INDCLAS model, the Tucker3-HICLAS model includes a hierarchical classification of the elements of each mode, and a linking structure among the three hierarchies. Unlike INDCLAS, Tucker3-HICLAS (a) does not restrict the hierarchical classifications of the three modes to have the same rank, and (b) allows for more complex linking structures among the three hierarchies. An algorithm to fit the Tucker3-HICLAS model is described and evaluated in an extensive simulation study. An application of the model to hostility data is discussed.The first author is a Research Assistant of the Fund for Scientific Research-Flanders (Belgium). The research reported in this paper was partially supported by the Research Council of K.U. Leuven (GOA/2000/02). We are grateful to Kristof Vansteelandt for providing us with an interesting data set.
Keywords:three-way three-mode data  binary data  hierarchical classes  multiway data analysis  clustering
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