scipy.spatial.distance.dice¶

scipy.spatial.distance.dice(u, v, w=None)[source]

Compute the Dice dissimilarity between two boolean 1-D arrays.

The Dice dissimilarity between u and v, is

$\frac{c_{TF} + c_{FT}} {2c_{TT} + c_{FT} + c_{TF}}$

where $$c_{ij}$$ is the number of occurrences of $$\mathtt{u[k]} = i$$ and $$\mathtt{v[k]} = j$$ for $$k < n$$.

Parameters: u : (N,) ndarray, bool Input 1-D array. v : (N,) ndarray, bool Input 1-D array. w : (N,) array_like, optional The weights for each value in u and v. Default is None, which gives each value a weight of 1.0 dice : double The Dice dissimilarity between 1-D arrays u and v.

Examples

>>> from scipy.spatial import distance
>>> distance.dice([1, 0, 0], [0, 1, 0])
1.0
>>> distance.dice([1, 0, 0], [1, 1, 0])
0.3333333333333333
>>> distance.dice([1, 0, 0], [2, 0, 0])
-0.3333333333333333


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