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. jaccard : double The Jaccard distance between vectors u and v.

Previous topic

scipy.spatial.distance.hamming

Next topic

scipy.spatial.distance.kulsinski