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.

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