scipy.spatial.distance.sokalmichener¶
- scipy.spatial.distance.sokalmichener(u, v)[source]¶
Computes the Sokal-Michener dissimilarity between two boolean 1-D arrays.
The Sokal-Michener dissimilarity between boolean 1-D arrays u and v, is defined as
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
, 
and
.Parameters : u : (N,) array_like, bool
Input array.
v : (N,) array_like, bool
Input array.
Returns : sokalmichener : double
The Sokal-Michener dissimilarity between vectors u and v.
