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

Computes the Jaccard-Needham dissimilarity between two boolean 1-D arrays.

The Jaccard-Needham dissimilarity between 1-D boolean arrays u and v, is defined as

\frac{c_{TF} + c_{FT}}
     {c_{TT} + c_{FT} + c_{TF}}

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 :

jaccard : double

The Jaccard distance between vectors u and v.

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