# scipy.spatial.distance.seuclidean¶

scipy.spatial.distance.seuclidean(u, v, V)[source]

Return the standardized Euclidean distance between two 1-D arrays.

The standardized Euclidean distance between u and v.

Parameters: u : (N,) array_like Input array. v : (N,) array_like Input array. V : (N,) array_like V is an 1-D array of component variances. It is usually computed among a larger collection vectors. seuclidean : double The standardized Euclidean distance between vectors u and v.

Examples

>>> from scipy.spatial import distance
>>> distance.seuclidean([1, 0, 0], [0, 1, 0], [0.1, 0.1, 0.1])
4.4721359549995796
>>> distance.seuclidean([1, 0, 0], [0, 1, 0], [1, 0.1, 0.1])
3.3166247903553998
>>> distance.seuclidean([1, 0, 0], [0, 1, 0], [10, 0.1, 0.1])
3.1780497164141406


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