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Robust Methods for Data Reduction
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eBook
Robust Methods for Data Reduction
2016,2015
Overview
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.
Publisher
Chapman & Hall,Chapman and Hall/CRC,CRC Press LLC,CRC Press
Subject
ISBN
1466590637, 9781466590632, 9781466590625, 1466590629
