Computes the correlation distance between two n-vectors u and v, which is defined as
\frac{1 - (u - \bar{u}){(v - \bar{v})}^T} {{||(u - \bar{u})||}_2 {||(v - \bar{v})||}_2^T}
where \bar{u} is the mean of a vectors elements and n is the common dimensionality of u and v.
Parameters : | u : ndarray
v : ndarray
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Returns : | d : double
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