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 \(k < n\).


u : (N,) array_like, bool

Input array.

v : (N,) array_like, bool

Input array.


jaccard : double

The Jaccard distance between vectors u and v.