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,) array_like, bool
Input 1-D array.
- v(N,) array_like, 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
- Returns:
- dicedouble
The Dice dissimilarity between 1-D arrays u and v.
Notes
This function computes the Dice dissimilarity index. To compute the Dice similarity index, convert one to the other with similarity = 1 - dissimilarity.
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