Description Usage Arguments Value Author(s) References See Also
This function allows the binary classification of the given covariance matrices with the Minimum distance to Riemannian Mean algorithm.
1 | MDRM(scm_list, centroids_list)
|
scm_list |
a list of numeric sample covariance matrices. |
centroids_list |
a list containing the (geometric) mean of both classes computed on a training set. The first element of the list must be the target class' mean, followed by the mean of the other class. |
It returns a list containing two elements:
classes |
numeric vector cointaining the class indicator. |
distances |
numeric matrix containing the distances among the two centroids, computed with the Riemannian distance. |
Laura Masiero, email: laura.masiero.10@gmail.com
Barachant, Alexandre e Marco Congedo (2014). "A Plug&Play P300 BCI Using Information Geometry". In: url: http://arxiv.org/abs/1409.0107.
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