Collinear datasets augmentation using Procrustes validation sets
the proposed method provides a fast and simple solution for augmenting collinear datasets, significantly improving model performance without requiring extensive parameter tuning. It is versatile and can be applied to a range of datasets, offering a practical alternative to more complex augmentation techniques.
Authors
- Sergei Zhilin
- Sergey Kucheryavskiy (ORCID: https://orcid.org/0000-0002-3145-7244)
Institutions
- Altai State Agricultural University (RU)
- Aalborg University (DK)
Publication Details
- Journal
- Analytica Chimica Acta
- Published
- 2025-03-15
- DOI
- https://doi.org/10.1016/j.aca.2025.343913
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.00