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Table 2 Comparison of accuracy (in ARI) of FlowGrid against other clustering algorithms

From: Ultrafast clustering of single-cell flow cytometry data using FlowGrid

Data set ARI (\(\bar {x}\pm sd\))
  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
  1. NA represents that the algorithm got error in the data set