This is documentation for an old release of SciPy (version 0.9.0). Read this page Search for this page in the documentation of the latest stable release (version 1.15.1).

scipy.spatial.distance.jaccard¶

scipy.spatial.distance.jaccard(u, v)¶

Computes the Jaccard-Needham dissimilarity between two boolean n-vectors u and v, which is

$rac{c_{TF} + c_{FT}} {c_{TT} + c_{FT} + c_{TF}}$

where $c_{ij}$ is the number of occurrences of $\mathtt{u[k]} = i$ and $\mathtt{v[k]} = j$ for $k < n$ .

Parameters :

u : ndarray

An $n$ -dimensional vector.

v : ndarray

An $n$ -dimensional vector.

Returns :

d : double

The Jaccard distance between vectors u and v.