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December 2011 The duality diagram in data analysis: Examples of modern applications
Omar De la Cruz, Susan Holmes
Ann. Appl. Stat. 5(4): 2266-2277 (December 2011). DOI: 10.1214/10-AOAS408

Abstract

Today’s data-heavy research environment requires the integration of different sources of information into structured data sets that can not be analyzed as simple matrices. We introduce an old technique, known in the European data analyses circles as the Duality Diagram Approach, put to new uses through the use of a variety of metrics and ways of combining different diagrams together. This issue of the Annals of Applied Statistics contains contemporary examples of how this approach provides solutions to hard problems in data integration. We present here the genesis of the technique and how it can be seen as a precursor of the modern kernel based approaches.

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Omar De la Cruz. Susan Holmes. "The duality diagram in data analysis: Examples of modern applications." Ann. Appl. Stat. 5 (4) 2266 - 2277, December 2011. https://doi.org/10.1214/10-AOAS408

Information

Published: December 2011
First available in Project Euclid: 20 December 2011

zbMATH: 1234.62006
MathSciNet: MR2907114
Digital Object Identifier: 10.1214/10-AOAS408

Keywords: Duality , generalized SVD , gPCA , kernel methods , RV coefficient

Rights: Copyright © 2011 Institute of Mathematical Statistics

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Vol.5 • No. 4 • December 2011
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