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.
| Version: | 0.0.2 |
| Depends: | nnls (≥ 1.1), Iso |
| Author: | Katharine M. Mullen |
| Maintainer: | Katharine M. Mullen <kate at nat.vu.nl> |
| License: | GPL (≥ 2) |
| In views: | ChemPhys |
| CRAN checks: | ALS results |
Downloads:
| Package source: | ALS_0.0.2.tar.gz |
| MacOS X binary: | ALS_0.0.2.tgz |
| Windows binary: | ALS_0.0.2.zip |
| Reference manual: | ALS.pdf |
| Old sources: | ALS archive |