SciPy

scipy.spatial.distance.sokalmichener

scipy.spatial.distance.sokalmichener(u, v)[source]

Computes the Sokal-Michener dissimilarity between two boolean 1-D arrays.

The Sokal-Michener dissimilarity between boolean 1-D arrays u and v, is defined as

\frac{R}
     {S + R}

where c_{ij} is the number of occurrences of \mathtt{u[k]} = i and \mathtt{v[k]} = j for k < n, R = 2 * (c_{TF} + c_{FT}) and S = c_{FF} + c_{TT}.

Parameters:

u : (N,) array_like, bool

Input array.

v : (N,) array_like, bool

Input array.

Returns:

sokalmichener : double

The Sokal-Michener dissimilarity between vectors u and v.