semiNMF {hNMF} | R Documentation |
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.
Description
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.
Usage
semiNMF(X, nmfMod, maxiter = 2000, 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) |
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]