Research Article
Extracting a Novel Emotional EEG Topographic Map Based on a Stacked Autoencoder Network
Table 3
Accuracy comparison for combination of classifiers and feature extraction methods.
| | (a) Valence | | Feature extraction method |
| | Classifier type | Accuracy (%) | PCA | NPCA | KLD | | SVM | 75.45 | 78.04 | 77.51 | | KNN | 74.81 | 76.42 | 76.05 | | BN | 75.32 | 77.41 | 76.13 |
| | (b) Arousal | | Feature extraction method |
| | Classifier type | Accuracy (%) | PCA | NPCA | KLD | | SVM | 76.26 | 77.25 | 78.23 | | KNN | 73.45 | 74.91 | 75.63 | | BN | 74.96 | 75.56 | 76.91 |
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