scipy.spatial.distance.correlation¶
- scipy.spatial.distance.correlation(u, v)[source]¶
Computes the correlation distance between two 1-D arrays.
The correlation distance between u and v, 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 : (N,) array_like
Input array.
v : (N,) array_like
Input array.
Returns: correlation : double
The correlation distance between 1-D array u and v.