Table 2.
Clustering details.
Clustering order | Silhouette score | Mean dot product | Single-patient clusters |
---|---|---|---|
2 | 0.50 | 0.74 ± 0.086 | No |
3 | 0.44 | 0.74 ± 0.081 | No |
4 | 0.49 | 0.73 ± 0.080 | No |
5 | 0.54 | 0.68 ± 0.067 | 1 |
6 | 0.52 | 0.68 ± 0.065 | 2 |
7 | 0.55 | 0.67 ± 0.062 | 3 |
8 | 0.61 | 0.68 ± 0.063 | 3 |
9 | 0.63 | 0.67 ± 0.065 | 4 |
10 | 0.67 | 0.68 ± 0.059 | 4 |
11 | 0.71 | 0.69 ± 0.063 | 5 |
For each clustering order, the optimal solution found with Matlab k-means function is reported, with the Silhouette score, the mean dot product with other clusters, and the number of single-patient clusters.