scipy.spatial.distance.hamming¶
- scipy.spatial.distance.hamming(u, v)[source]¶
Computes the Hamming distance between two 1-D arrays.
The Hamming distance between 1-D arrays u and v, is simply the proportion of disagreeing components in u and v. If u and v are boolean vectors, the Hamming distance is
\[\frac{c_{01} + c_{10}}{n}\]where \(c_{ij}\) is the number of occurrences of \(\mathtt{u[k]} = i\) and \(\mathtt{v[k]} = j\) for \(k < n\).
Parameters: u : (N,) array_like
Input array.
v : (N,) array_like
Input array.
Returns: hamming : double
The Hamming distance between vectors u and v.