HALSacc {hNMF}R Documentation

Accelerated hierarchical alternating least squares NMF. For a reference to the method, see N. Gillis, Nonnegative matrix factorization: complexity, algorithms and applications [Section 4.2, Algo. 6], PhD thesis, Université catholique de Louvain, February 2011.

Description

Accelerated hierarchical alternating least squares NMF. For a reference to the method, see N. Gillis, Nonnegative matrix factorization: complexity, algorithms and applications [Section 4.2, Algo. 6], PhD thesis, Université catholique de Louvain, February 2011.

Usage

HALSacc(X, nmfMod, alpha = 1, maxiter = 1000, checkDivergence = FALSE)

Arguments

X

Input data matrix, each column represents one observation and the rows correspond to the different features

nmfMod

Valid NMF model, containing initialized factor matrices (in accordance with the NMF package definition)

alpha

Nonnegative parameter of the accelerated method

maxiter

Maximum number of iterations

checkDivergence

currently not in use, to be implemented

Value

Resulting NMF model (in accordance with the NMF package definition)

Author(s)

nsauwen


[Package hNMF version 1.0 Index]