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seuclidean(u, v, V)

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.

Returns

seuclidean : double

The standardized Euclidean distance between vectors u and v.

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

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
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.spatial.distance.seuclidean

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GitHub : /scipy/spatial/distance.py#938
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