Table 2.
Results of comparing the clustering approaches
| Clustering Approach | No. of hospitals | CH-index* | Silhouette** | Davies-Bouldin*** | ||
|---|---|---|---|---|---|---|
| Size | Small: 853 | Medium: 201 | Large: 70 | 647.35 | 0.48 | 1.08 |
| Ownership | Non-profit: 450 | Private: 238 | Public: 436 | 25.77 | -0.11 | 7.59 |
| SOM | Cluster 1: 186 | Cluster 2: 249 | Cluster 3: 689 | 874.54 | 0.57 | 0.76 |
* A high score is achieved when clusters are dense and well separated.
** The score ranges from for incorrect clustering to for dense and well-separated clustering.
*** A value closer to zero indicates a better partition.