Generalized Principal Component Analysis

Available
0
StarStarStarStarStar
0Reviews

This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers. This challenging task requires the development of new algebraic, geometric, statistical, and computational metho...

Read more
product_type_E-book
pdf
Price
52.99 £

This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers. This challenging task requires the development of new algebraic, geometric, statistical, and computational metho...

Read more
Follow the Author

Options

  • Formats: pdf
  • ISBN: 9780387878119
  • Publication Date: 11 Apr 2016
  • Publisher: Springer New York
  • Product language: English
  • Drm Setting: DRM