Table 2.

Parameters used for experiments; t is the number of neighbors and K is the number of clusters. These parameters are generated considering both dimensionality reduction and clustering together.

Dataset	t	No. of dimensions	Tolerance	k
Baron_human1	10	6	1e−12	14
	23	3	1e−10
Baron_human2	8	3	1e−12	14
Baron_human3	16	7	1e−12	14
	8	3	1e−8
Baron_human4	9	6	1e−12	14
	22	3	1e−12
Baron_mouse1	17	3	1e−12	13
Baron_mouse2	11	6	1e−12	13
	20	3	1e−8
Muraro	10	5	1e−3	6
	11	3	1e−7
Segerstolpe	10	5	1e−3	6
	9	3	1e−8
Xin	15	6	1e−12	6
	25	3	1e−3
Wang	8	3	1e−12	6
H1299 scRNA-seq	11	3	1e−8	7
Calu3 scRNA-seq	12	7	1e−3	7
	11	3	1e−5
PBMC	8	5	1e−12	8
	25	3	1e−12