scipy.spatial.distance.kulsinski¶

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

Computes the Kulsinski dissimilarity between two boolean n-vectors u and v, which 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 : ndarray

An $n$ -dimensional vector.

v : ndarray

An $n$ -dimensional vector.

Returns :

d : double

The Kulsinski distance between vectors u and v.