bundles / scipy 1.17.1 / scipy / spatial / distance / yule

function

`scipy.spatial.distance:yule`

source: /scipy/spatial/distance.py :1293

Signature

def yule ( u , v , w = None )

Summary

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

Extended Summary

The Yule dissimilarity is defined as

\frac{R}{c _{T T} * c _{F F} + \frac{R}{2}}

where $c_{ij}$ is the number of occurrences of $u [k] = i$ and $v [k] = j$ for $k < n$ and $R = 2.0 * c_{T F} * c_{F T}$ .

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

yule : double: The Yule dissimilarity between vectors u and v.

Examples

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

✓

Aliases

scipy.spatial.distance.yule