Fast computation of robust subspace estimators

Article

Abstract: Dimension reduction is often an important step in the analysis of high-dimensional data. PCA is a po

Palabras claves:

Deterministic algorithm, High-dimensional data, Least trimmed squares, M-scale, Principal Component Analysis

Autores:

Holger Cevallos-Valdiviezo, Van Aelst S.

Fuentes:

google

scopus