Tucker3 hierarchical classes analysis

被引:28
作者
Ceulemans, E [1 ]
Van Mechelen, I [1 ]
Leenen, I [1 ]
机构
[1] Katholieke Univ Leuven, Dept Psychol, B-3000 Louvain, Belgium
关键词
three-way three-mode data; binary data; hierarchical classes; multiway data analysis; clustering;
D O I
10.1007/BF02294735
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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.
引用
收藏
页码:413 / 433
页数:21
相关论文
共 25 条