bundles / scipy latest / scipy / spatial / distance / rogerstanimoto

function

`scipy.spatial.distance:rogerstanimoto`

source: /scipy/spatial/distance.py :1408

Signature

def rogerstanimoto ( u , v , w = None )

Summary

Compute the Rogers-Tanimoto dissimilarity between two boolean 1-D arrays.

Extended Summary

The Rogers-Tanimoto dissimilarity between two boolean 1-D arrays u and v, is defined as

\frac{R}{c _{T T} + c _{F F} + R}

where $c_{ij}$ is the number of occurrences of $u [k] = i$ and $v [k] = j$ for $k < n$ and $R = 2 (c_{T F} + c_{F T})$ .

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

rogerstanimoto : double: The Rogers-Tanimoto dissimilarity between vectors u and v.

Examples

from scipy.spatial import distance
distance.rogerstanimoto([1, 0, 0], [0, 1, 0])
distance.rogerstanimoto([1, 0, 0], [1, 1, 0])
distance.rogerstanimoto([1, 0, 0], [2, 0, 0])

✓

Aliases

scipy.spatial.distance.rogerstanimoto