run

Import in python using from mcot.core._scripts.parcel.spectral import run

mcot.core._scripts.parcel.spectral.run(surface: mcot.core.surface.cortical_mesh.CorticalMesh, features, n_iter=20, metric='spearman', method='spectral')[source]

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