A New Algorithm for Computing Disjoint Orthogonal Components in the Parallel Factor Analysis Model with Simulations and Applications to Real-World Data

Martin-Barreiro, Carlos; Ramirez-Figueroa, John A.; Cabezas, Xavier; Leiva, Victor; Martin-Casado, Ana; Purificacion Galindo-Villardon, M.

Abstract

In this paper, we extend the use of disjoint orthogonal components to three-way table analysis with the parallel factor analysis model. Traditional methods, such as scaling, orthogonality constraints, non-negativity constraints, and sparse techniques, do not guarantee that interpretable loading matrices are obtained in this model. We propose a novel heuristic algorithm that allows simple structure loading matrices to be obtained by calculating disjoint orthogonal components. This algorithm is also an alternative approach for solving the well-known degeneracy problem. We carry out computational experiments by utilizing simulated and real-world data to illustrate the benefits of the proposed algorithm.

Más información

Título según WOS: A New Algorithm for Computing Disjoint Orthogonal Components in the Parallel Factor Analysis Model with Simulations and Applications to Real-World Data
Título de la Revista: MATHEMATICS
Volumen: 9
Número: 17
Editorial: MDPI
Fecha de publicación: 2021
DOI:

10.3390/math9172058

Notas: ISI