scipy.spatial.distance.correlation¶

scipy.spatial.distance.correlation(u, v)[source]¶

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

An $n$ -dimensional vector.

v : ndarray

An $n$ -dimensional vector.

Returns :

d : double

The correlation distance between vectors u and v.