SpectralUnmix: A Torch-Based Regularized Non-negative Matrix Factorization

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Authors: Rafael S. de Souza
Cited by: 1

Abstract

SpectralUnmix is an R package for smooth non-negative spectral unmixing of hyperspectral and astronomical IFU data. The package fits a regularized factorization model and provides helpers for reshaping cubes, reconstructing components, and preserving cube-side metadata through fitted outputs.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026