I have n 3-dimensional vectors. Is there a way to find distance between all using euclidean distance?


1 Answer 1


You can use sklearn's euclidean_distances function.


In [1]: from sklearn.metrics.pairwise import euclidean_distances

In [2]: import numpy as np

In [3]: x = np.random.rand(10, 3)

In [4]: euclidean_distances(x)

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