Research Article
Automatic Diagnosis of Microgrid Networks’ Power Device Faults Based on Stacked Denoising Autoencoders and Adaptive Affinity Propagation Clustering
Table 5
The results of the Silhouette index with different cluster numbers by using an SAE/SDAE with adAP (the testing dataset).
| Model | Dataset | Silhouette index | Cluster no. | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| SAE | A | 0.3302 | 0.4377 | 0.5614 | 0.5892 | 0.6126 | 0.6416 | 0.6647 | 0.6791 | 0.6815 | — | — | B | 0.3629 | 0.4259 | 0.4327 | 0.5173 | 0.6053 | 0.6367 | 0.7151 | 0.7424 | 0.7415 | — | — | SDAE | A | 0.4920 | 0.5050 | 0.5487 | 0.6660 | 0.7780 | 0.8214 | 0.8936 | 0.9014 | — | — | — | B | 0.4370 | 0.5156 | 0.6237 | 0.6880 | 0.7510 | 0.8061 | 0.8969 | 0.9167 | — | — | — |
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