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/02838d7e3b2279d726aaf79303c46111a1b9805f.png)
and ![\mathtt{v[k]} = j](../_images/math/e98e95a08d4d367cfb1784945148a91813e5a830.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.