Algorithms and Framework for Nonnegative Matrix Factorization
(NMF)
Provides a framework to perform Non-negative Matrix
    Factorization (NMF). The package implements a set of already published algorithms
    and seeding methods, and provides a framework to test, develop and plug
    new/custom algorithms. Most of the built-in algorithms have been optimized
    in C++, and the main interface function provides an easy way of performing
    parallel computations on multicore machines.
R (>= 3.0.0), methods, utils, pkgmaker (>= 0.20), registry,
rngtools (>= 1.2.3), cluster
graphics, stats, stringr (>= 1.0.0), digest, grid, grDevices,
gridBase, colorspace, RColorBrewer, foreach, doParallel,
ggplot2, reshape2
RcppOctave (>= 0.11), fastICA, doMPI, bigmemory (>= 4.2),
synchronicity, corpcor, xtable, devtools, knitr, bibtex, RUnit,
mail, Biobase
'rmatrix.R' 'nmf-package.R' 'utils.R' 'versions.R'
'algorithmic.R' 'options.R' 'grid.R' 'colorcode.R' 'atracks.R'
'aheatmap.R' 'NMF-class.R' 'transforms.R' 'Bioc-layer.R'
'NMFstd-class.R' 'NMFOffset-class.R' 'registry.R' 'heatmaps.R'
'NMFns-class.R' 'nmfModel.R' 'fixed-terms.R' 'NMFfit-class.R'
'NMFSet-class.R' 'NMFStrategy-class.R' 'NMFSeed-class.R'
'NMFStrategyFunction-class.R' 'NMFStrategyIterative-class.R'
'NMFStrategyOctave-class.R' 'NMFplots.R'
'registry-algorithms.R' 'algorithms-base.R'
'algorithms-brunet.R' 'algorithms-lnmf.R' 'algorithms-lsnmf.R'
'algorithms-pe-nmf.R' 'algorithms-siNMF.R' 'algorithms-snmf.R'
'data.R' 'extractFeatures.R' 'registry-seed.R' 'parallel.R'
'nmf.R' 'rnmf.R' 'run.R' 'seed-base.R' 'seed-ica.R'
'seed-nndsvd.R' 'setNMFClass.R' 'simulation.R' 'tests.R'