Hierarchical Non-Negative Matrix Factorization

Documentation for package ‘hNMF’ version 1.0

HALSacc	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, Université catholique de Louvain, February 2011.
hNMF	Hierarchical non-negative matrix factorization.
imoverlay	Overlay a mask or a color scaled image on top of a background image
initializeNMF	Initialize NMF model with initial spectral data
initializeSPA	The successive projection algorithm, a useful method for initializing the NMF source matrix
oneLevelNMF	Perform Non-Negative Matrix factorization
PGNMF	NMF by alternating non-negative least squares using projected gradients. For a reference to the method, see C.-J. Lin, "Projected Gradient Methods for Non-negative Matrix Factorization", Neural computation 19.10 (2007): 2756-2779.
preProcesInputData	Condition input data matrix properly for NMF
residualNMF	Computation of relative NMF residual per observation
scaleNMFResult	Apply fixed scaling to NMF model matrices by normalizing the basis vectors
semiNMF	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.