`scipy.spatial.distance:sqeuclidean`

Signature

def sqeuclidean ( u , v , w = None )

Compute the squared Euclidean distance between two 1-D arrays.

The squared Euclidean distance between u and v is defined as

i \sum w_{i} ∣ u_{i} - v_{i} ∣^{2}

u : (N,) array_like: Input array.
v : (N,) array_like: 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

sqeuclidean : double: The squared Euclidean distance between vectors u and v.

from scipy.spatial import distance

✓

distance.sqeuclidean([1, 0, 0], [0, 1, 0])
distance.sqeuclidean([1, 1, 0], [0, 1, 0])

✗