Table 3.

Analysis of patient dispersion with different granularity

Granularity	Unike sets of recom.	Sets with $\ge$ 10 patients	Calinski–Harabasz	Davies–Bouldin	Silhouette index
6	144	9	36.12	1.37	0.169
5	122	11	39.12	1.42	0.152
4	94	13	38.22	1.48	0.137
3	46	14	48.47	1.42	0.137

Higher values of Calinski–Harabasz index mean that the clusters are well-delineated and compact. Lower values of Davies–Bouldin indicate that the clusters are well-separated and distinct. A higher Silhouette index indicates that patients are well-matched to their own cluster and poorly matched to neighbouring clusters