SciPy

scipy.spatial.distance.sokalsneath

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

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

The Sokal-Sneath dissimilarity between u and v,

\frac{R}
     {c_{TT} + R}

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

Parameters:

u : (N,) array_like, bool

Input array.

v : (N,) array_like, bool

Input array.

Returns:

sokalsneath : double

The Sokal-Sneath dissimilarity between vectors u and v.