# scipy.spatial.distance.kulsinski¶

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

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. kulsinski : double The Kulsinski distance between vectors u and v.

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