Semi-NMF based on multiplicative update rules. Reference: C. Ding, T. Li, and M.I. Jordan, "Convex and semi-nonnegative matrix factorizations", IEEE Transations on Pattern Analysis and Machine Intelligence, vol. 32, no. 1, pp. 45-55, 2010.
semiNMF(X, nmfMod, maxiter = 2000, 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)
Maximum number of iterations
currently not in use, to be implemented
Resulting NMF model (in accordance with the NMF package definition)