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

Computes the Yule dissimilarity between two boolean 1-D arrays.

The Yule dissimilarity is defined as

\frac{R}{c_{TT} + c_{FF} + \frac{R}{2}}

where c_{ij} is the number of occurrences of \mathtt{u[k]} = i and \mathtt{v[k]} = j for k < n and R = 2.0 * (c_{TF} + c_{FT}).

Parameters :

u : (N,) array_like, bool

Input array.

v : (N,) array_like, bool

Input array.

Returns :

yule : double

The Yule dissimilarity between vectors u and v.

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