run

Import in python using from mcutils.scripts.parcel.spectral import run

mcutils.scripts.parcel.spectral.run(surface: mcutils.surface.cortical_mesh.CorticalMesh, features, n_iter=20, metric='spearman', method='spectral')

Repeatedly identify the border between clusters in a spotlight fashion

Parameters

• surface – anatomical surface with N vertices

• features – (N, M) array of surface features

• n_iter – number of iterations

• metric – which metric to use for the similarity between neighbouring vertices

• method – clustering method (‘spectral’, ‘affinity’, or ‘DBSCAN’)

Returns

(N, ) array with fraction of times a vertex was on the border between the clusters