Generalized Canonical Correlation Analysis for Classification

For multiple multivariate data sets, we derive conditions under which Generalized Canonical Corre-lation 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