| CH | Silhouette | AMI |
---|
Exp 1 VBM | 182.839 | 0.308 | 0.008 |
Exp 2 AV45 | 322.853 | 0.431 | 0.020 |
Exp 3 FDG | 144.537 | 0.251 | 0.028 |
Exp 4 GCCA | 2.908 | 0.038 | -0.001 |
Exp 5 DGCCA | 133.704 | 0.303 | 0.039 |
- Clusters are evaluated using Calinski and Harabasz (CH) and the silhouette score as internal measures. Higher CH score and Silhouette close to 1 indicates more dense and well separated clusters, where lower CH score and Silhouette closer to 0 indicates more poorly defined and overlapping clusters. In addition, Adjusted Mutual Information (AMI) are calculated for each cluster assignment against the original EMCI/LMCI diagnosis. AMI closer to 1 means two sets of clusters are more similar where AMI close to 0 means they are more independent from each other