Mathematics (Aug 2021)

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

  • Carlos Martin-Barreiro,
  • John A. Ramirez-Figueroa,
  • Xavier Cabezas,
  • Victor Leiva,
  • Ana Martin-Casado,
  • M. Purificación Galindo-Villardón

DOI
https://doi.org/10.3390/math9172058
Journal volume & issue
Vol. 9, no. 17
p. 2058

Abstract

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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.

Keywords