Table 13.
Hierarchical clustering results: cluster size, heterogeneity, and cohesion metrics.
| Cluster | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|
| Size | 14 | 14 | 87 | 16 | 27 | 9 | 5 | 9 | 8 |
| Explained proportion within-cluster heterogeneity | 6.90E-02 | 7.10E-02 | 5.39E-01 | 1.04E-01 | 1.67E-01 | 4.00E-03 | 6.00E-03 | 2.00E-02 | 2.00E-02 |
| Within sum of squares | 1,36E+07 | 1,38E+07 | 1,06E+09 | 2,03E+07 | 3,27E+07 | 8,34E+05 | 1,14E+06 | 3,99E+06 | 3,90E+06 |
| Silhouette score | 4.22E-01 | 3.39E-01 | 2.21E-01 | 2.90E-01 | 2.56E-01 | 8.13E-01 | 7.34E-01 | 6.33E-01 | 5.61E-01 |
This table reports the main descriptive statistics of the hierarchical clustering solution. It summarizes cluster sizes, within-cluster heterogeneity, total within-cluster sum of squares, and silhouette scores. Higher silhouette values indicate stronger cluster cohesion and separation, while heterogeneity measures reflect the relative contribution of each cluster to overall variance.