eegprep.pop_clust

eegprep.pop_clust(STUDY, ALLEEG, *args, algorithm='kmeans', clus_num=20, outliers=inf, random_state=0, gui=False, renderer=None, return_com=False, **kwargs)

Run deterministic k-means clustering on STUDY.etc.preclust.

Parameters:

• STUDY (dict[str, Any] | None)

• ALLEEG (Any)

• args (Any)

• algorithm (str)

• clus_num (int)

• outliers (float)

• random_state (int)

• gui (bool)

• renderer (Any | None)

• return_com (bool)

• kwargs (Any)

Return type:

Any