pyriemann.utils.distance.distance_euclid

pyriemann.utils.distance.distance_euclid(A, B)

Euclidean distance between matrices.

The Euclidean distance between two matrices A and B is defined as the Frobenius norm of the difference of the two matrices:

\[d(\mathbf{A},\mathbf{B}) = \Vert \mathbf{A} - \mathbf{B} \Vert_F\]

Parameters

Andarray, shape (…, n, m)

First matrices, at least 2D ndarray.

Bndarray, shape (…, n, m)

Second matrices, same dimensions as A.

Returns

dndarray, shape (…,) or float

Euclidean distance between A and B.