M2SMF {M2SMF}

the main part for M2SMF and clustering result

Description

jointly factorize multiple matrices into a shared sub-matrix and multiple private sub-matrices

Usage

M2SMF(WL, lambda = 0.25, theta = 10^-4, k)

Arguments

WL

A list of similarity matrices

lambda

A parameter to set the relative weight of the group sparsity constraints

theta

A parameter to determine the convergence

k

A parameter to specify the cluster number

Value

A list containing the clustering result

sub_matrices

a list containing all the sub-matrices

cluster_res

the clustering result which is as long as the number of samples

Author(s)

Xiaoyao Yin

Examples

WL <- simu_data_gen()
res <- M2SMF(WL,0.25,10^-4,5)