Table 2.

Measures of cluster partitions quality for different number^a of clusters

	PBCb	HGc	HGSDd	ASWe	ASWwf	CHg	R2h	CHsqi	R2sqj	HCk
2 clusters	0.74	0.99	0.99	0.75	0.75	2063.58	0.25	4404.48	0.41	0.01
3 clusters	0.66	0.84	0.84	0.68	0.68	4232.97	0.57	5975.31	0.65	0.07
4 clusters	0.67	0.84	0.84	0.70	0.70	3589.46	0.63	6458.03	0.75	0.07
5 clusters	0.71	0.92	0.92	0.72	0.72	3419.08	0.68	6821.89	0.81	0.03
6 clusters	0.73	0.97	0.97	0.76	0.76	3502.94	0.73	6901.61	0.84	0.02
7 clusters	0.73	0.98	0.98	0.77	0.77	3247.65	0.75	7341.25	0.87	0.01
8 clusters	0.73	0.98	0.98	0.77	0.77	3039.62	0.77	7073.04	0.89	0.01
9 clusters	0.73	0.98	0.98	0.77	0.77	2786.74	0.78	6716.10	0.89	0.01
10 clusters	0.73	0.99	0.99	0.78	0.78	2587.42	0.79	6513.68	0.90	0.01
11 clusters	0.73	0.99	0.99	0.78	0.78	2410.38	0.79	6289.63	0.91	0.01
12 clusters	0.73	0.99	0.99	0.76	0.76	2324.17	0.80	6086.74	0.91	0.01
13 clusters	0.73	0.99	0.99	0.77	0.77	2270.38	0.81	5883.08	0.92	0.00

^aThe here selected number of clusters market in bold

^bPoint Biserial Correlation

^cHubert’s Gamma

^dHubert’s Somers’ D

^eAverage Silhouette Width

^fAverage Silhouette Width (weighted)

^gCalinski-Harabasz index

^hPseudo R²

ⁱCalinski-Harabasz index squared

^jPseudo R² squared

^kHubert’s C