Computes the correlation distance between two n-vectors u and v, which is defined as
1 - \frac{(u - \bar{u}) \cdot (v - \bar{v})} {{||(u - \bar{u})||}_2 {||(v - \bar{v})||}_2}
where \bar{u} is the mean of the elements of u and x \cdot y is the dot product of x and y.
Parameters : | u : ndarray
v : ndarray
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Returns : | d : double
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