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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:

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.

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.