Table 2 The classification results of CNN.
Clustering algorithm | Precision | Recall | F-score |
|---|---|---|---|
K-means++ | 0.407837302 | 0.412309368 | 0.409291088 |
K-means | 0.420653138 | 0.420298143 | 0.413029082 |
GMM | 0.458085362 | 0.479953484 | 0.467910418 |
Spectral clustering | 0.443782761 | 0.510982469 | 0.471149819 |
K-medoids | 0.520787355 | 0.521708201 | 0.517168854 |
FCM | 0.720416663 | 0.688164921 | 0.690147127 |
WGCNA | 0.78614125 | 0.729279985 | 0.741099025 |
GCNA-Kpca | 0.84104302 | 0.766970131 | 0.789498886 |