Canonical Correlation
In statistics, canonical correlation analysis, introduced by Harold Hotelling, is a way of making sense of cross-covariance matrices. If we have two sets of variables, and, and there are correlations among the variables, then canonical correlation analysis will enable us to find linear combinations of the 's and the 's which have maximum correlation with each other.
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