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

\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 : ndarray

An n-dimensional vector.

v : ndarray

An n-dimensional vector.

Returns :

d : double

The Hamming distance between vectors u and v.

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