Table 1 Comparison of EM-GMM and K-means clustering performance
Clustering algorithm | Silhouette coefficient | Calinski–Harabasz index | Davies–Bouldin index |
|---|---|---|---|
EM-GMM (K = 2) | 0.391 | 10,447.381 | 1.178 |
EM-GMM (K = 3) | 0.400 | 11,285.403 | 1.073 |
EM-GMM (K = 4) | 0.398 | 12,465.243 | 1.235 |
K-means (K = 2) | 0.183 | 4015.301 | 1.921 |
K-means (K = 3) | 0.179 | 3550.229 | 1.710 |
K-means (K = 4) | 0.145 | 3165.865 | 1.733 |