A New Algorithm for Computing Disjoint Orthogonal Components in the Parallel Factor Analysis Model with Simulations and Applications to Real-World Data
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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.
2020 ◽
Vol 223
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pp. 117192
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1999 ◽
Vol 8
(4)
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pp. 854-888
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2011 ◽
Vol 705
(1-2)
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pp. 155-165
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1999 ◽
Vol 8
(4)
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pp. 854
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2020 ◽
Vol 232
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pp. 118187
2014 ◽
Vol 2014
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pp. 1-7
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2019 ◽
Vol 13
(01)
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pp. 1
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