2 datasets found

The dataset used in the paper is a mixture of multiple Gaussian distributions, where each distribution corresponds to a separate sub-network in a brain network.

The dataset is a mixture of 4 equally weighted isotropic Gaussians p⋆ i = N (µi, Id) where the µi are defined as µ1 = a × (1, 1, 1,..., 1, 1, 1), µ2 = a × (−1, −1, −1,..., 1, 1,...