Robust Methods for Data Reduction

by Alessio Farcomeni, Luca Greco

Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, dou

297 pages, ebook

First published April 16, 2015