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.

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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
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article

Collinear datasets augmentation using Procrustes validation sets

Sergei Zhilin, Sergey Kucheryavskiy
Analytica Chimica Acta
Spectroscopy and Chemometric Analyses
article

Collinear datasets augmentation using Procrustes validation sets

Sergei Zhilin, Sergey Kucheryavskiy
article en

Abstract

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.

Analytica Chimica ActaVol. 1351
Altai State Agricultural University (RU), Aalborg University (DK)
Openalex Percentile: Top 95%
Spectroscopy and Chemometric Analyses
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Collinear datasets augmentation using Procrustes validation sets — Sergei Zhilin, Sergey Kucheryavskiy · Analytica Chimica Acta (2025) | TGRS Research Map | TGRS