swMATH ID: 11320
Software Authors: Ceulemans, Eva; van Mechelen, Iven; Leenen, Iwin
Description: Tucker3 hierarchical classes analysis. This paper presents a new model for binary three-way three-mode data, called Tucker3 hierarchical classes model (Tucker3-HICLAS). This new model generalizes I. Leenen, I. van Mechelen, P. De Boeck and S. Rosenberg’s individual differences hierarchical classes model (INDCLAS) [Psychometrika 64, No. 1, 9–24 (1999; Zbl 06318576)]. 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.
Homepage: http://link.springer.com/article/10.1007%2FBF02294735
Keywords: three-way three-mode data; binary data; hierarchical classes; multiway data analysis; clustering
Related Software: pertsaus2; ADPROCLUS; CHull; ElemStatLearn; GAMLSS; BayesDA
Referenced in: 15 Publications

Standard Articles

1 Publication describing the Software, including 1 Publication in zbMATH Year
Tucker3 hierarchical classes analysis. Zbl 1306.62393
Ceulemans, Eva; Van Mechelen, Iven; Leenen, Iwin

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