Table 2.

Performance of BCALoD, DBcsan, DPC and K-mean. The bolded values are the best clustering quality indexes.

	Algorithm	AR	ARI	NMI	HI	Nc/Ns
Case 1 dataset	BCALoD	0.9834	0.9924	0.9481	0.9848	8/8
	DBSCAN	0.9367	0.9709	0.8807	0.9418	6/8
	DPC	0.9796	0.9907	0.9350	0.9813	6/8
	K-mean	0.8631	0.9351	0.7918	0.8701	4/8
Case 1 dataset (Noise-containing)	BCALoD	0.9220	0.9674	0.8533	0.9348	8/8
	DBSCAN	0.8689	0.9444	0.7923	0.8888	7/8
	DPC	0.8536	0.9374	0.7767	0.8748	6/8
	K-mean	0.7639	0.8952	0.6616	0.7904	4/8
Case 2 dataset	BCALoD	1	1	1	1	4/4
	DBSCAN	1	1	1	1	4/4
	DPC	1	1	1	1	4/4
	K-mean	0.4293	0.7928	0.3792	0.5855	6/4