CUR matrix approximation through convex optimization for feature selection
The singular value decomposition (SVD) is commonly used in applications that require a low-rank matrix approximation. However, the singular vectors cannot be interpreted in terms of the original data. For applications requiring this type of interpretation, e.g., selection of important data matrix co...
Na minha lista:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2025-08-01
|
| coleção: | Frontiers in Applied Mathematics and Statistics |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fams.2025.1632218/full |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|