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
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 : (N,) array_like
Input array.
v : (N,) array_like
Input array.
Returns : hamming : double
The Hamming distance between vectors u and v.