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]