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
is the number of occurrences of
![\mathtt{u[k]} = i](../../_images/math/1f2e6ebb7498423654e0ce52676dc669d0309ce9.png)
and ![\mathtt{v[k]} = j](../../_images/math/ca0752041eb1e05ca2b4bb35a62412b5bdad9c32.png)
for
.
Parameters : u : ndarray
An
-dimensional vector.- v : ndarray
An
-dimensional vector.
Returns : d : double
The Jaccard distance between vectors u and v.
