Literature DB >> 20037640

On the Non-Existence of Optimal Solutions and the Occurrence of "Degeneracy" in the CANDECOMP/PARAFAC Model.

Wim P Krijnen, Theo K Dijkstra, Alwin Stegeman.   

Abstract

The CANDECOMP/PARAFAC (CP) model decomposes a three-way array into a prespecified number of R factors and a residual array by minimizing the sum of squares of the latter. It is well known that an optimal solution for CP need not exist. We show that if an optimal CP solution does not exist, then any sequence of CP factors monotonically decreasing the CP criterion value to its infimum will exhibit the features of a so-called "degeneracy". That is, the parameter matrices become nearly rank deficient and the Euclidean norm of some factors tends to infinity. We also show that the CP criterion function does attain its infimum if one of the parameter matrices is constrained to be column-wise orthonormal.

Entities:  

Year:  2008        PMID: 20037640      PMCID: PMC2792364          DOI: 10.1007/s11336-008-9056-1

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  4 in total

1.  Structure-seeking multilinear methods for the analysis of fMRI data.

Authors:  Anders H Andersen; William S Rayens
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2.  Tensorial extensions of independent component analysis for multisubject FMRI analysis.

Authors:  C F Beckmann; S M Smith
Journal:  Neuroimage       Date:  2005-01-08       Impact factor: 6.556

3.  Factor analysis of tongue shapes.

Authors:  R Harshman; P Ladefoged; L Goldstein
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4.  Degeneracy in Candecomp/Parafac and Indscal Explained For Several Three-Sliced Arrays With A Two-Valued Typical Rank.

Authors:  Alwin Stegeman
Journal:  Psychometrika       Date:  2007-07-28       Impact factor: 2.500

  4 in total
  4 in total

1.  The special sign indeterminacy of the direct-fitting Parafac2 model: some implications, cautions, and recommendations for simultaneous component analysis.

Authors:  Nathaniel E Helwig
Journal:  Psychometrika       Date:  2013-02-27       Impact factor: 2.500

2.  Constrained Candecomp/Parafac via the Lasso.

Authors:  Paolo Giordani; Roberto Rocci
Journal:  Psychometrika       Date:  2013-02-07       Impact factor: 2.500

3.  Three-mode factor analysis by means of Candecomp/Parafac.

Authors:  Alwin Stegeman; Tam T T Lam
Journal:  Psychometrika       Date:  2013-11-23       Impact factor: 2.500

4.  Advanced Insights into Functional Brain Connectivity by Combining Tensor Decomposition and Partial Directed Coherence.

Authors:  Britta Pester; Carolin Ligges; Lutz Leistritz; Herbert Witte; Karin Schiecke
Journal:  PLoS One       Date:  2015-06-05       Impact factor: 3.240

  4 in total

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