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. 2022 Feb 22;25(3):406–425. doi: 10.1007/s10729-022-09590-8

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 -1 for incorrect clustering to +1 for dense and well-separated clustering.

*** A value closer to zero indicates a better partition.