This simulation process assumes that we have partial information on the clustering within each view component, and that the final clustering of individuals depends on a combination of the clustering on each of the views. In addition, we take into account possible label-switching: we consider that an individual belongs with a certain probability to the wrong class, thus disturbing the adjacency matrices and making the simulation more real and complex.

rSMB_partition(N, V, K, pi_k, rho, sorted = T, p_switch = NULL)

Arguments

N

Number of observations

V

Number of views

K

Vector of size Q, indicate the number of clusters in each component.

pi_k

Vector of proportions of observations across clusters.

rho

Vector of proportion of views across components.

sorted

Boolean for simulation reordering (clusters and components membership).

p_switch

probability of label-switching, if NULL no perturbation between true clustering and the connectivity of individuals.

Value

list with the parameters of the simulation ($params), and the simulations ($simulation).

Details

See the vignette for more information.