bundles / scipy 1.17.1 / scipy / spatial / distance / cosine

function

`scipy.spatial.distance:cosine`

source: /scipy/spatial/distance.py :675

Signature

def cosine ( u , v , w = None )

Summary

Compute the Cosine distance between 1-D arrays.

Extended Summary

The Cosine distance between u and v, is defined as

1 - \frac{u \cdot v}{∥ u ∥ _{2} ∥ v ∥ _{2}} .

where $u \cdot v$ is the dot product of $u$ and $v$ .

Parameters

u : (N,) array_like of floats: Input array.
v : (N,) array_like of floats: Input array.
w : (N,) array_like of floats, optional: The weights for each value in u and v. Default is None, which gives each value a weight of 1.0

Returns

cosine : double: The Cosine distance between vectors u and v.

Examples

from scipy.spatial import distance

✓

distance.cosine([1, 0, 0], [0, 1, 0])
distance.cosine([100, 0, 0], [0, 1, 0])
distance.cosine([1, 1, 0], [0, 1, 0])

✗

Aliases

scipy.spatial.distance.cosine

Referenced by

This package