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:

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.

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.