Shift-invariant trilinearity and soft shift-invariant trilinearity
Автор: Chemometrics & Machine Learning in Copenhagen
Загружено: 2024-01-24
Просмотров: 162
Описание: A new method for shift-invariant non-negative tensor factorization is presented for the analysis of GC-MS data. The method is a fast alternative to the Parallel Factor Analysis 2 (PARAFAC2) model, which is used to resolve co-eluting peaks and extract peak areas and clean mass spectra. The new method can also be extended to a more flexible soft-shift invariant tri-linearity algorithm, which potentially can model shifts and shape changes of elution profiles across samples.
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