Generalized canonical correlation analysis for classification

Cencheng Shen, Ming Sun, Minh Tang and Carey E. Priebe

Journal of Multivariate Analysis, 2014, vol. 130, issue C, 310-322

Abstract: For multiple multivariate datasets, we derive conditions under which Generalized Canonical Correlation Analysis improves classification performance of the projected datasets, compared to standard Canonical Correlation Analysis using only two data sets. We illustrate our theoretical results with simulations and a real data experiment.

Keywords: Generalized canonical correlation analysis (GCCA); Classification; Low-dimensional projection; Stiefel manifold (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1016/j.jmva.2014.05.011

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