scipy.spatial.distance.wminkowski¶
-
scipy.spatial.distance.
wminkowski
(u, v, p, w)[source]¶ Compute the weighted Minkowski distance between two 1-D arrays.
The weighted Minkowski distance between u and v, defined as
\[\left(\sum{(|w_i (u_i - v_i)|^p)}\right)^{1/p}.\]- Parameters
- u(N,) array_like
Input array.
- v(N,) array_like
Input array.
- pint
The order of the norm of the difference \({||u-v||}_p\).
- w(N,) array_like
The weight vector.
- Returns
- wminkowskidouble
The weighted Minkowski distance between vectors u and v.
Notes
wminkowski
is DEPRECATED. It implements a definition where weights are powered. It is recommended to use the weighted version ofminkowski
instead. This function will be removed in a future version of scipy.Examples
>>> from scipy.spatial import distance >>> distance.wminkowski([1, 0, 0], [0, 1, 0], 1, np.ones(3)) 2.0 >>> distance.wminkowski([1, 0, 0], [0, 1, 0], 2, np.ones(3)) 1.4142135623730951 >>> distance.wminkowski([1, 0, 0], [0, 1, 0], 3, np.ones(3)) 1.2599210498948732 >>> distance.wminkowski([1, 1, 0], [0, 1, 0], 1, np.ones(3)) 1.0 >>> distance.wminkowski([1, 1, 0], [0, 1, 0], 2, np.ones(3)) 1.0 >>> distance.wminkowski([1, 1, 0], [0, 1, 0], 3, np.ones(3)) 1.0