Computation of parcellations using a hierarchical approach. Author: Bertrand Thirion, 2008
Function that performs the parcellation by optimizing the inter-subject similarity while retaining the connectedness within subject and some consistency across subjects.
Parameters : | domain: discrete_domain.DiscreteDomain instance, :
ldata: list of (n_subj) arrays of shape (domain.size, dim) :
nb_parcel: int, :
nb_perm: int, optional, :
niter: int, optional, :
mu: float, optional, :
dmax: float optional, :
lamb: float optional :
chunksize; int, optional :
verbose: bool, optional, :
initial_mask: array of shape (domain.size, nb_subj), optional :
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Returns : | Pa: the resulting parcellation structure appended with the labelling : |
caveat: assumes that the functional dimension is 1