BayesianMixture_SBM_model |
mimiSBM model for fixed K and Q |
CEM |
Clustering Matrix : One hot encoding |
diag_nulle |
Diagonal coefficient to 0 on each slice given the 3rd dimension. |
fit_SBM_per_layer |
SBM on each layer |
fit_SBM_per_layer_parallel |
SBM on each layer - parallelized |
initialisation_params_bayesian |
Initialization of mimiSBM parameters |
lab_switching |
Label Switching |
log_Softmax |
log softmax of matrices (by row) |
Loss_BayesianMSBM |
mimiSBM Evidence Lower BOund |
Mat_lien_alpha |
Create probality-component list for clustering per view component. |
mimiSBM |
Mixture of Multilayer Integrator SBM (mimiSBM) |
multinomial_lbeta_function |
Calculation of Log multinomial Beta value. |
one_hot_errormachine |
One Hot Encoding with Error machine |
partition_K_barre |
Create a link between final clustering and clustering per view component. |
plot_adjacency |
Plot adjacency matrices |
rMSBM |
Simulate data from the mimiSBM generative model. |
rSMB_partition |
Simulation of mixture multilayer Stochastick block model |
sort_Z |
Sort the clustering matrix |
transpo |
Transposition of an array |
trig_sup |
Upper triangular Matrix/Array |
update_beta_bayesian |
Update of bayesian parameter beta |
update_eta_bayesian |
Update of bayesian parameter eta |
update_tau_bayesian |
Update of bayesian parameter tau |
update_theta_bayesian |
Update of bayesian parameter theta |
update_u_bayesian |
Update of bayesian parameter u |
update_xi_bayesian |
Update of bayesian parameter xi |
VBEM_step |
Variational Bayes Expectation Maximization |