gradec.segmentation.PCTSegmentation

class gradec.segmentation.PCTSegmentation(n_segments=5)

Percentile-based segmentation.

This method implements the original method described in (Margulies et al., 2016) in which the whole-brain gradients is segmented into equidistant gradients segments.

fit(gradients)

Fit Segmentation to gradient.

Parameters:

gradients (numpy.ndarray) – Gradients vector.

Variables:

• segments (list of numpy.ndarray) – List with thresholded gradients maps.

• labels – L

• boundaries –

• peaks –

transform()

Transform gradients to maps.