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.

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