rCUR: an R package for CUR matrix decomposition

BACKGROUND: Many methods for dimensionality reduction of large data sets such as those generated in microarray studies boil down to the Singular Value Decomposition (SVD). Although singular vectors associated with the largest singular values have strong optimality properties and can often be quite u...

Descripción completa

Detalles Bibliográficos
Autores principales: Bodor, András, Csabai, István, Mahoney, Michael W, Solymosi, Norbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546429/
https://www.ncbi.nlm.nih.gov/pubmed/22594948
http://dx.doi.org/10.1186/1471-2105-13-103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546429/
https://www.ncbi.nlm.nih.gov/pubmed/22594948
http://dx.doi.org/10.1186/1471-2105-13-103

Ejemplares similares