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, Universit<U+00E9> catholique de Louvain, February 2011.
HALSacc(X, nmfMod, alpha = 1, maxiter = 1000, checkDivergence = FALSE)Input data matrix, each column represents one observation and the rows correspond to the different features
Valid NMF model, containing initialized factor matrices (in accordance with the NMF package definition)
Nonnegative parameter of the accelerated method
Maximum number of iterations
currently not in use, to be implemented
Resulting NMF model (in accordance with the NMF package definition)