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Table 2 Summary of external evaluations for semi-supervised methods

From: A comparison framework and guideline of clustering methods for mass cytometry data

DatasetsMethodsExternal evaluations
AccuracyF-measureNMIARI
Cell CycleACDC0.8342 ± 0.00710.8466 ± 0.00930.4325 ± 0.02120.5579 ± 0.0129
LDA0.9095 ± 0.00060.9110 ± 0.00050.6189 ± 0.00320.7225 ± 0.0021
ColonACDC0.7439 ± 0.00260.7874 ± 0.00760.5705 ± 0.00880.5952 ± 0.0041
LDA0.8576 ± 0.00110.8587 ± 0.00120.7410 ± 0.00120.7626 ± 0.0017
Levine13dimACDC0.9010 ± 0.00290.9275 ± 0.00260.8635 ± 0.00410.9011 ± 0.0052
LDA0.9582 ± 0.00050.9586 ± 0.00050.9275 ± 0.00080.9539 ± 0.0007
Levine32dimACDC0.9943 ± 0.00060.9939 ± 0.00070.9380 ± 0.00520.9791 ± 0.0020
LDA0.9809 ± 0.00030.9807 ± 0.00040.9595 ± 0.00060.9830 ± 0.0002
MuscleACDC0.8787 ± 0.01010.8784 ± 0.00890.6750 ± 0.01680.7593 ± 0.0190
LDA0.9240 ± 0.00110.9238 ± 0.00110.7606 ± 0.00310.8295 ± 0.0031
Samusik01ACDC0.9682 ± 0.00270.9731 ± 0.00190.9347 ± 0.00470.9616 ± 0.0021
LDA0.9757 ± 0.00020.9759 ± 0.00020.9482 ± 0.00040.9735 ± 0.0005
  1. Data shown as mean ± standard deviation