Research Article
Gaussian Mixture Models Based on Principal Components and Applications
Table 8
Summary of PCA implementation on cancer incidence data.
| Importance of components | PC1 | PC2 | PC3 | PC4 | PC5 |
| Standard deviation | 5.1588 | 1.7982 | 1.01642 | 0.57151 | 0.47353 | Proportion of variance | 0.8317 | 0.1011 | 0.03228 | 0.01021 | 0.00701 | Cumulative proportion | 0.8317 | 0.9327 | 0.96499 | 0.97520 | 0.98220 |
|
|