Trendafilov, Nickolay T. and Lippert, Ross A.
The multimode Procrustes problem.
Linear Algebra and its Applications, 349(1-3) pp. 245–264.
In this paper, we consider a generalization of the well-known Procrustes problem relevant to principal component analysis of multidimensional data arrays. This multimode Procrustes problem is a complex constrained minimization problem which involves the simultaneous least-squares fitting of several matrices. We propose two solutions of the problem: the projected gradient approach which leads to solving ordinary differential equations on matrix manifolds, and differential-geometric approach for optimization on products of matrix manifolds. A numerical example concerning the three-mode Procrustes illustrates the developed algorithms.
||Multidimensional data arrays; Principal components; Constrained optimization; Manifold of orthogonal and oblique matrices; Dynamical system on product manifold; Riemannian connection; Optimality conditions
||Mathematics, Computing and Technology > Mathematics and Statistics
||04 Jul 2006
||02 Dec 2010 19:50
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