Robust Methods for Data Reduction

von Luca Greco, Alessio Farcomeni

298 Seiten, Hardcover

Kurzbeschreibung des Verlags

This book 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, double clustering, and discriminant analysis. Using real examples, the authors show how to implement the procedures in R. The code and data for the examples are available on the book's CRC Press web page.

• Themen: Mathematik und Naturwissenschaften Mathematik Wahrscheinlichkeitsrechnung und Statistik
• ISBN: 9781466590625
• Sprache: Englisch
• Erscheinungsdatum: 16.04.2015
• Größe: 240 x 161 mm
• Verlag: Chapman and Hall/CRC