scipy.spatial.distance.seuclidean¶
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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.
- Returns
- seuclideandouble
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