Let you have two features set X and Y. Using canonical correlation analysis, we get projection weight matrix Wx and Wy, which consists of correlation coefficients.  We can project  features of X and Y using Wx and Wy in canonical space. Now question is, 

How to obtain a single intrinsic feature vector using the projected features in canonical space determined by canonical correlation analysis?

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