Description: Robust Methods for Data Reduction, Hardcover by Farcomeni, Alessio; Greco, Luca, ISBN 1466590629, ISBN-13 9781466590625, Like New Used, Free shipping in the US 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 th’s CRC Press web page.
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Book Title: Robust Methods for Data Reduction
Number of Pages: 297 Pages
Language: English
Publication Name: Robust Methods for Data Reduction
Publisher: CRC Press LLC
Publication Year: 2015
Subject: Probability & Statistics / General
Item Height: 0.8 in
Item Weight: 20 Oz
Type: Textbook
Subject Area: Mathematics
Author: Luca Greco, Alessio Farcomeni
Item Length: 9.3 in
Item Width: 6.5 in
Format: Hardcover
