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]