mne_denoise.dss.selection.iterative_outlier_removal#
- mne_denoise.dss.selection.iterative_outlier_removal(scores: ndarray, sigma: float = 3.0) int[source]#
Count values removed by iterative mean-plus-sigma thresholding.
At each iteration, values above
mean + sigma * stdare removed from the remaining scores; the process stops when no value qualifies and returns the number removed.- Parameters:
- scoresarray-like
Component scores.
- sigmafloat, default=3.0
Threshold multiplier.
- Returns:
- int
Number of removed scores.