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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.
Package details |
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Author | Katharine M. Mullen |
Maintainer | Katharine Mullen <mullenkate@gmail.com> |
License | GPL (>= 2) |
Version | 0.0.7 |
Package repository | View on CRAN |
Installation |
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