Article ID Journal Published Year Pages File Type
1145742 Journal of Multivariate Analysis 2014 13 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Mathematics Numerical Analysis
Authors
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