scipy.spatial.distance.sokalsneath

scipy.spatial.distance.sokalsneath(u, v, w=None)

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.

w : (N,) array_like, optional

The weights for each value in u and v. Default is None, which gives each value a weight of 1.0

Returns:

sokalsneath : double

The Sokal-Sneath dissimilarity between vectors u and v.