scipy.spatial.distance.sokalmichener¶

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

Computes the Sokal-Michener dissimilarity between two boolean 1-D arrays.

The Sokal-Michener dissimilarity between boolean 1-D arrays u and v, is defined as

$\frac{R} {S + R}$

where $c_{ij}$ is the number of occurrences of $\mathtt{u[k]} = i$ and $\mathtt{v[k]} = j$ for $k < n$ , $R = 2 * (c_{TF} + c_{FT})$ and $S = c_{FF} + c_{TT}$ .

Parameters :

Parameters :	u : (N,) array_like, bool Input array. v : (N,) array_like, bool Input array.
Returns :	sokalmichener : double The Sokal-Michener dissimilarity between vectors u and v.

u : (N,) array_like, bool

Input array.

v : (N,) array_like, bool

Input array.

Returns :

sokalmichener : double

The Sokal-Michener dissimilarity between vectors u and v.

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