| Literature DB >> 27041779 |
Rachel Mak1, Stefan M Wild2, Chris Jacobsen3.
Abstract
In x-ray spectromicroscopy, a set of images can be acquired across an absorption edge to reveal chemical speciation. We previously described the use of non-negative matrix approximation methods for improved classification and analysis of these types of data. We present here an approach to find appropriate values of regularization parameters for this optimization approach.Entities:
Keywords: multivariate statistical analysis; non-negative matrix analysis; optimization; x-ray microscopy; x-ray spectromicroscopy
Year: 2016 PMID: 27041779 PMCID: PMC4817849 DOI: 10.1063/1.4937528
Source DB: PubMed Journal: AIP Conf Proc ISSN: 0094-243X