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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