pyriemann.utils.mean.mean_euclid¶

pyriemann.utils.mean.mean_euclid(covmats, sample_weight=None)[source]¶

Return the mean covariance matrix according to the euclidean metric :

$$\mathbf{C} = \frac{1}{N} \sum_i \mathbf{C}_i$$

Parameters:	covmats – Covariance matrices set, Ntrials X Nchannels X Nchannels sample_weight – the weight of each sample
Returns:	the mean covariance matrix