scipy.spatial.distance.sqeuclidean#
- scipy.spatial.distance.sqeuclidean(u, v, w=None)[source]#
Compute the squared Euclidean distance between two 1-D arrays.
The squared Euclidean distance between u and v is defined as
\[\sum_i{w_i |u_i - v_i|^2}\]- Parameters:
- 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
- Returns:
- sqeuclideandouble
The squared Euclidean distance between vectors u and v.
Examples
>>> from scipy.spatial import distance >>> distance.sqeuclidean([1, 0, 0], [0, 1, 0]) 2.0 >>> distance.sqeuclidean([1, 1, 0], [0, 1, 0]) 1.0