Research Article
An Epilepsy Detection Method Using Multiview Clustering Algorithm and Deep Features
Table 6
Performance comparison of different algorithms on different depth features.
| Feature | Classifier | Accuracy | Sensitivity |
| Deep features (time domain view) | FCM | 73.02 | 53.57 | SVM | 74.38 | 55.36 | RBF-NN | 74.62 | 56.11 | Multiview FCM | 76.98 | 56.87 | Deep features (spectral view) | FCM | 92.45 | 91.56 | SVM | 95.03 | 94.48 | RBF-NN | 94.74 | 94.96 | Multiview FCM | 96.42 | 95.52 | Deep features (time-frequency view) | FCM | 89.89 | 85.30 | SVM | 91.10 | 86.85 | RBF-NN | 91.54 | 87.08 | Multiview FCM | 92.12 | 89.83 | Multiview deep features | FCM | 92.98 | 92.02 | SVM | 95.86 | 94.78 | RBF-NN | 95.25 | 95.21 | Multiview FCM | 97.38 | 96.26 |
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