Table 1 Optimal recognition rates (%) and corresponding feature dimensions with different dimension reduction methods
From: An efficient classification method based on principal component and sparse representation
Dimension reduction method | Feature dimension | Optimal recognition rate |
|---|---|---|
Random projection | 225 | 94.8 |
PCA | 100 | 95.6 |
\(\hbox {(2D)}^{2} \hbox {PCA}\) | 196 | 96.4 |
\(\hbox {B(2D)}^{2} \hbox {PCA}\) | 49 | 97.2 |