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scipy.spatial.distance.kulsinski

scipy.spatial.distance.kulsinski(u, v)

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.