Table 5.

The comparison of the performance of the four clustering algorithms over different matrix transformation methods by various indices (Dunn, Davies–Bouldin, eta-squared and omega-squared) and correlations between MSt and MSb of clusters

Transformation methods	Clustering algo.	Dunn mean (SD)	Davies-Bouldin mean (SD)	Eta-squared mean (SD)	Omega-squared mean (SD)	Cor (MSt, MSb)
Lower triangle	RCKmeans	0.2 (0.24)	8.06 (4.55)	0.32 (0.18)	0.28 (0.16)	0.82
	RCDTC	0.23 (0.24)	6.73 (3.63)	0.4 (0.14)	0.35 (0.14)	0.9
	RCPCA	0.18 (0.15)	7.22 (4.53)	0.45 (0.09)	0.33 (0.12)	0.83
	RCPCA_RBF	0.14 (0.12)	8.84 (5.33)	0.32 (0.11)	0.26 (0.12)	0.78
Upper triangle	RCKmeans	0.17 (0.29)	8.06 (4.55)	0.32 (0.18)	0.27 (0.17)	0.82
	RCDTC	0.21 (0.24)	6.58 (3.2)	0.39 (0.14)	0.34 (0.15)	0.89
	RCPCA	0.18 (0.18)	7.02 (3.46)	0.45 (0.08)	0.34 (0.11)	0.82
	RCPCA_RBF	0.14 (0.14)	8.66 (5.02)	0.33 (0.1)	0.26 (0.11)	0.78
Average	RCKmeans	0.2 (0.22)	8.31 (5.32)	0.34 (0.18)	0.29 (0.16)	0.82
	RCDTC	0.23 (0.24)	6.61 (3.26)	0.41 (0.14)	0.35 (0.15)	0.87
	RCPCA	0.17 (0.13)	7.24 (4.02)	0.44 (0.09)	0.33 (0.12)	0.81
	RCPCA_RBF	0.14 (0.12)	8.54 (4.64)	0.33 (0.11)	0.27 (0.11)	0.78
Reciprocal	RCKmeans	0.21 (0.24)	7.5 (3.57)	0.33 (0.18)	0.29 (0.17)	0.82
	RCDTC	0.22 (0.24)	6.8 (3.51)	0.4 (0.14)	0.35 (0.15)	0.91
	RCPCA	0.17 (0.13)	6.83 (3.8)	0.45 (0.08)	0.34 (0.11)	0.82
	RCPCA_RBF	0.14 (0.11)	8.74 (5.07)	0.32 (0.11)	0.26 (0.11)	0.79
Non-reciprocal	RCKmeans	0.2 (0.22)	7.8 (4.05)	0.33 (0.17)	0.29 (0.16)	0.81
	RCDTC	0.23 (0.24)	6.68 (3.29)	0.4 (0.14)	0.35 (0.15)	0.91
	RCPCA	0.19 (0.15)	6.87 (3.57)	0.46 (0.07)	0.35 (0.11)	0.81
	RCPCA_RBF	0.14 (0.12)	8.96 (5.22)	0.32 (0.11)	0.26 (0.12)	0.78