scipy.spatial.distance.minkowski¶
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scipy.spatial.distance.minkowski(u, v, p=2, w=None)[source]¶ Computes the Minkowski distance between two 1-D arrays.
The Minkowski distance between 1-D arrays u and v, is defined as
\[ \begin{align}\begin{aligned}{||u-v||}_p = (\sum{|u_i - v_i|^p})^{1/p}.\\\left(\sum{(|w_i (u_i - v_i)|^p)}\right)^{1/p}.\end{aligned}\end{align} \]Parameters: u : (N,) array_like
Input array.
v : (N,) array_like
Input array.
p : int
The order of the norm of the difference \({||u-v||}_p\).
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: minkowski : double
The Minkowski distance between vectors u and v.