Stretched non-negative matrix factorization

Stretched non-negative matrix factorization

Abstract A novel algorithm, stretchedNMF, is introduced for non-negative matrix factorization (NMF), accounting for signal stretching along the independent variable’s axis. It addresses signal variability caused by stretching, proving beneficial for analyzing data such as powder diffraction at varyi...

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Bibliographic Details
Main Authors: Ran Gu, Yevgeny Rakita, Ling Lan, Zach Thatcher, Gabrielle E. Kamm, Daniel O’Nolan, Brennan Mcbride, Allison Wustrow, James R. Neilson, Karena W. Chapman, Qiang Du, Simon J. L. Billinge
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-024-01377-5

Internet

https://doi.org/10.1038/s41524-024-01377-5

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