scipy.spatial.distance.russellrao¶
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scipy.spatial.distance.russellrao(u, v, w=None)[source]¶ Compute the Russell-Rao dissimilarity between two boolean 1-D arrays.
The Russell-Rao dissimilarity between two boolean 1-D arrays, u and v, is defined as
\[\frac{n - c_{TT}} {n}\]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 array.
- v : (N,) array_like, bool
Input 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: - russellrao : double
The Russell-Rao dissimilarity between vectors u and v.
Examples
>>> from scipy.spatial import distance >>> distance.russellrao([1, 0, 0], [0, 1, 0]) 1.0 >>> distance.russellrao([1, 0, 0], [1, 1, 0]) 0.6666666666666666 >>> distance.russellrao([1, 0, 0], [2, 0, 0]) 0.3333333333333333