scipy.spatial.distance.jaccard¶

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.