Table 2.

Comparison of accuracy (in ARI) of FlowGrid against other clustering algorithms

Data set	ARI ($\overline{x}\pm \mathit{\text{sd}}$)
	FlowGrid	FlowSOM	FlowPeaks	Flock
Multi-center	0.66 ± 0.20	0.75 ± 0.17	0.68 ± 0.20	0.66 ± 0.16
Flow-CAP-GvHD	0.79 ± 0.15	0.85 ± 0.11	0.72 ± 0.16	0.47 ± 0.20
Flow-CAP-DLBL	0.85 ± 0.10	0.84 ± 0.10	0.82 ± 0.15	0.84 ± 0.09
Flow-CAP-HSCT	0.90 ± 0.08	0.87 ± 0.14	0.83 ± 0.24	0.57 ± 0.27
Seaflow0	0.94	0.81	NA	0.27
Seaflow1	0.59	0.54	0.34	NA
Seaflow11	0.77	0.33	NA	NA

NA represents that the algorithm got error in the data set