OSNMTF {OSNMTF}

The algorithm OSNMTF

Description

Factorize matrix W into the multiplication of L, C and R, with L and R being orthogonal and C being sparse. Then the row cluster results and column cluster results are obtained from L and R.

Usage

OSNMTF(W,lambda=0.2,theta=10^-4,k,l)

Arguments

W

The matrix to be factorized

lambda

A parameter to set the relative weight of the sparsity constraints

theta

A parameter to determine the convergence

k

A parameter to specify the row cluster number

l

A parameter to specify the column cluster number

Value

A list containing the clustering result

sub_matrices

a list containing the matrix L, C, R

cluster_results

a list containing the row cluster results and the column cluster results

Author(s)

Xiaoyao Yin

Examples

W <- simu_data_generation()
OSNMTF_res <- OSNMTF(W,k=5,l=4)