Accelerating truncated singular-value decomposition: a fast and provable method for robust principal component analysis
Principal component analysis (PCA) is one of the most popular statistical procedures for dimension reduction. A modification of PCA, called robust principal component analysis (RPCA), has been studied to overcome the well-known shortness of PCA: sensitivity to outliers and corrupted data points. Ear...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | English |
| Published: |
University of Iowa
2018
|
| Online Access: | https://ir.uiowa.edu/etd/6068 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=7760&context=etd |