Generalized principal component analysis
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 challen...
Full description
Saved in:
| Main Author: |
Vidal, René, |
| Other Authors: |
Ma, Yi, 1972-, Sastry, S. S. (Mathematician),, SpringerLink (Online service) |
| Format: |
eBook
|
| Language: |
English
|
| Published: |
New York, NY :
Springer,
2016.
|
| Physical Description: |
1 online resource (xxxii, 566 pages) : illustrations (some color).
|
| Series: |
Interdisciplinary applied mathematics ;
v. 40.
|
| Subjects: |
|