Computes the Mahalanobis distance between two n-vectors u and v, which is defiend as
(u-v)V^{-1}(u-v)^T
where VI is the inverse covariance matrix V^{-1}.
u : ndarray
An n-dimensional vector.
v : ndarray
d : double
The Mahalanobis distance between vectors u and v.
scipy.spatial.distance.kulsinski
scipy.spatial.distance.matching
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