Article

On stability of Canonical Correlation Analysis and Partial Least Squares with application to brain-behavior associations

2020-08-25

Abstract excerpt

Associations between datasets can be discovered through multivariate methods like Canonical Correlation Analysis (CCA) or Partial Least Squares (PLS). A requisite property for interpretability and generalizability of CCA/PLS solutions is stability of feature patterns driving an association. However, stability of CCA/PLS in high-dimensional datasets is questionable, as found in empirical characterizations. To study...

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Literature Corpus work: 1d7000d6-ff32-535e-89c4-daa51908874c
DOI: 10.1101/2020.08.25.265546

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