pyriemann.utils.distance.distance_logeuclid¶
- pyriemann.utils.distance.distance_logeuclid(A, B)¶
Log-Euclidean distance between SPD matrices.
The Log-Euclidean distance between two SPD matrices A and B is:
\[d(\mathbf{A},\mathbf{B}) = \Vert \log(\mathbf{A}) - \log(\mathbf{B}) \Vert_F\]- Parameters
- Andarray, shape (…, n, n)
First SPD matrices, at least 2D ndarray.
- Bndarray, shape (…, n, n)
Second SPD matrices, same dimensions as A.
- Returns
- dndarray, shape (…,) or float
Log-Euclidean distance between A and B.
