Alternating least squares is often used to resolve components contributing to data with a bilinear structure; the basic technique may be extended to alternating constrained least squares. Commonly applied constraints include unimodality, non-negativity, and normalization of components. Several data matrices may be decomposed simultaneously by assuming that one of the two matrices in the bilinear decomposition is shared between datasets.
|Author||Katharine M. Mullen|
|Date of publication||2015-08-03 11:44:35|
|Maintainer||Katharine Mullen <email@example.com>|
|License||GPL (>= 2)|
als: alternating least squares multivariate curve resolution...
internals: MCR-ALS functions used internally
matchFactor: Matching factor functions to describe similarity of two...
multiex: Data inspired by GC mass spectrometry experiments
multiex1: Data inspired by GC mass spectrometry experiments
plotS: Plots a matrix representing mass spectra