OSNMTF: The algorithm OSNMTF

In OSNMTF: Orthogonal Sparse Non-Negative Matrix Tri-Factorization

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)

OSNMTF documentation built on Dec. 1, 2019, 1:22 a.m.