scipy.spatial.distance.hamming¶
- scipy.spatial.distance.hamming(u, v)[source]¶
Computes the Hamming distance between two n-vectors u and v, which is simply the proportion of disagreeing components in u and v. If u and v are boolean vectors, the Hamming distance is
where
is the number of occurrences of
![\mathtt{u[k]} = i](../_images/math/1f2e6ebb7498423654e0ce52676dc669d0309ce9.png)
and ![\mathtt{v[k]} = j](../_images/math/ca0752041eb1e05ca2b4bb35a62412b5bdad9c32.png)
for
.Parameters : u : ndarray
An
-dimensional vector.v : ndarray
An
-dimensional vector.Returns : d : double
The Hamming distance between vectors u and v.
