Coupled double self-expressive subspace clustering with low-rank tensor learning
T Wu, GF Lu - Expert Systems with Applications, 2024 - Elsevier
In recent years, subspace clustering (SC) methods have been widely used in machine
learning and computer vision. However, the self-expressive matrix obtained by the existing …
learning and computer vision. However, the self-expressive matrix obtained by the existing …
Spectral similarities in galaxies through an unsupervised classification of spaxels
H Chambon, D Fraix-Burnet - Astronomy and Astrophysics-A&A, 2024 - aanda.org
Aims. We present the first unsupervised classification of spaxels in hyperspectral images of
individual galaxies. Classes identify regions by spectral similarity and thus take all the …
individual galaxies. Classes identify regions by spectral similarity and thus take all the …