Table 2.

Summary of external evaluations for semi-supervised methods

Datasets	Methods	External evaluations
		Accuracy	F-measure	NMI	ARI
Cell Cycle	ACDC	0.8342 ± 0.0071	0.8466 ± 0.0093	0.4325 ± 0.0212	0.5579 ± 0.0129
	LDA	0.9095 ± 0.0006	0.9110 ± 0.0005	0.6189 ± 0.0032	0.7225 ± 0.0021
Colon	ACDC	0.7439 ± 0.0026	0.7874 ± 0.0076	0.5705 ± 0.0088	0.5952 ± 0.0041
	LDA	0.8576 ± 0.0011	0.8587 ± 0.0012	0.7410 ± 0.0012	0.7626 ± 0.0017
Levine13dim	ACDC	0.9010 ± 0.0029	0.9275 ± 0.0026	0.8635 ± 0.0041	0.9011 ± 0.0052
	LDA	0.9582 ± 0.0005	0.9586 ± 0.0005	0.9275 ± 0.0008	0.9539 ± 0.0007
Levine32dim	ACDC	0.9943 ± 0.0006	0.9939 ± 0.0007	0.9380 ± 0.0052	0.9791 ± 0.0020
	LDA	0.9809 ± 0.0003	0.9807 ± 0.0004	0.9595 ± 0.0006	0.9830 ± 0.0002
Muscle	ACDC	0.8787 ± 0.0101	0.8784 ± 0.0089	0.6750 ± 0.0168	0.7593 ± 0.0190
	LDA	0.9240 ± 0.0011	0.9238 ± 0.0011	0.7606 ± 0.0031	0.8295 ± 0.0031
Samusik01	ACDC	0.9682 ± 0.0027	0.9731 ± 0.0019	0.9347 ± 0.0047	0.9616 ± 0.0021
	LDA	0.9757 ± 0.0002	0.9759 ± 0.0002	0.9482 ± 0.0004	0.9735 ± 0.0005

Data shown as mean ± standard deviation