pyriemann.geometry.covariance.normalize

pyriemann.geometry.covariance.normalize(X, norm)

Normalize a set of square matrices, using corr, trace or determinant.

Parameters:

Xndarray, shape (…, n, n)

Set of square matrices. Matrices must be invertible for determinant-normalization.

norm{“corr”, “trace”, “determinant”}

Type of normalization:

• “corr”: normalized matrices are correlation matrices, with values in [-1, 1] and diagonal values equal to 1;

• “trace”: trace of normalized matrices is 1;

• “determinant”: determinant of normalized matrices is +/- 1.

Returns:

Xnndarray, shape (…, n, n)

Set of normalized matrices, same dimensions as X.

Notes

Added in version 0.2.7.

Changed in version 0.12: Add support for NumPy and PyTorch.