SciPy

scipy.spatial.distance.kulsinskiΒΆ

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

Computes the Kulsinski dissimilarity between two boolean 1-D arrays.

The Kulsinski dissimilarity between two boolean 1-D arrays u and v, is defined as

\frac{c_{TF} + c_{FT} - c_{TT} + n}
     {c_{FT} + c_{TF} + n}

where c_{ij} is the number of occurrences of \mathtt{u[k]} = i and \mathtt{v[k]} = j for k < n.

Parameters:

u : (N,) array_like, bool

Input array.

v : (N,) array_like, bool

Input array.

Returns:

kulsinski : double

The Kulsinski distance between vectors u and v.