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 mcxtel (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 thi'ee hierarchies. An algorithm to fit the Tucker3-HICLAS model is described and evaluated ...
In this paper two techniques for units clustering and factorial dimensionality reduction of variable...
A novel clustering model for three-way data concerning a set of objects on which variables are measu...
Hierarchical classes models are models for N-way N-mode data that represent the association among th...
This paper presents a new hierarchical classes model, called Tucker2-HICLAS, for binary three-way th...
Hierarchical classes (HICLAS) models for multi-way multi-mode data constitute a unique family of cla...
Hierarchical classes (HICLAS) models for multi-way multi-mode data constitute a unique family of cla...
katholieke universiteit leuven Several hierarchical classes models can be considered for the modelin...
three-way three-mode data, binary data, hierarchical classes, multiway analysis, model selection,
A three-way three-mode extension of De Boeck and Rosenberg’s (1988) two-way two-mode hier-archical c...
binary data, clustering, hierarchical classes, individual differences, set-theoretical relations, th...
Hierarchical classes (HICLAS) models constitute a distinct family of structural models for N-way N-m...
In this paper we present a new model for binary two-way two-mode clustering, called K-centroids hier...
In many areas of the behavioral sciences, different groups of objects are measured on the same set o...
This paper proposes an ordinal generalization of the hierarchical classes model oriNnally proposed b...
Abstract: Probabilistic feature models (PFMs) can be used to explain binary rater judgements about t...
In this paper two techniques for units clustering and factorial dimensionality reduction of variable...
A novel clustering model for three-way data concerning a set of objects on which variables are measu...
Hierarchical classes models are models for N-way N-mode data that represent the association among th...
This paper presents a new hierarchical classes model, called Tucker2-HICLAS, for binary three-way th...
Hierarchical classes (HICLAS) models for multi-way multi-mode data constitute a unique family of cla...
Hierarchical classes (HICLAS) models for multi-way multi-mode data constitute a unique family of cla...
katholieke universiteit leuven Several hierarchical classes models can be considered for the modelin...
three-way three-mode data, binary data, hierarchical classes, multiway analysis, model selection,
A three-way three-mode extension of De Boeck and Rosenberg’s (1988) two-way two-mode hier-archical c...
binary data, clustering, hierarchical classes, individual differences, set-theoretical relations, th...
Hierarchical classes (HICLAS) models constitute a distinct family of structural models for N-way N-m...
In this paper we present a new model for binary two-way two-mode clustering, called K-centroids hier...
In many areas of the behavioral sciences, different groups of objects are measured on the same set o...
This paper proposes an ordinal generalization of the hierarchical classes model oriNnally proposed b...
Abstract: Probabilistic feature models (PFMs) can be used to explain binary rater judgements about t...
In this paper two techniques for units clustering and factorial dimensionality reduction of variable...
A novel clustering model for three-way data concerning a set of objects on which variables are measu...
Hierarchical classes models are models for N-way N-mode data that represent the association among th...