Generalized Principal Component Analysis by Rene Vidal, Yi Ma, Shankar Sastry

Generalized Principal Component Analysis



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Generalized Principal Component Analysis Rene Vidal, Yi Ma, Shankar Sastry ebook
ISBN: 9780387878102
Publisher: Springer New York
Page: 634
Format: pdf


In this chapter, we generalize the ideas of principal components to the problem of approximating the information interface between two random vectors. Generalized Principal Component Analysis. This technique is a natural extension of classical PCA from one to multiple subspaces. Generalized principal component analysis with respect to instrumental variables via univariate spline transformations, 1993 Article. Sparse Generalized Principal Components Analysis with. Stéphane Girard, Serge Iovleff. Auto-Associative models and generalized Principal. Pattern-Based Wind Speed Prediction Based on. Generalized Principal Component Analysis (GPCA). Generalized principal component analysis. Generalized Principal Component Analysis: Estimation and Segmentation of Hybrid Models, expected 2006. The principal component analysis is well known as a method to summarize the phenomenon described by the quantitative features. Rene Vidal and Yi Ma1 ( Professor S. I Introduction to Generalized Principal Component Analysis (slides) . Authors: Vidal, René, Ma, Yi, Sastry, Shankar. Shankar Sastry) (ONR) N00014-00-1-0621.





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