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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

Datasets

Methods

External evaluations

Accuracy

F-measure

NMI

ARI

Cell Cycle

ACDC

0.8342 ± 0.0071

0.8466 ± 0.0093

0.4325 ± 0.0212

0.5579 ± 0.0129

LDA

0.9095 ± 0.0006

0.9110 ± 0.0005

0.6189 ± 0.0032

0.7225 ± 0.0021

Colon

ACDC

0.7439 ± 0.0026

0.7874 ± 0.0076

0.5705 ± 0.0088

0.5952 ± 0.0041

LDA

0.8576 ± 0.0011

0.8587 ± 0.0012

0.7410 ± 0.0012

0.7626 ± 0.0017

Levine13dim

ACDC

0.9010 ± 0.0029

0.9275 ± 0.0026

0.8635 ± 0.0041

0.9011 ± 0.0052

LDA

0.9582 ± 0.0005

0.9586 ± 0.0005

0.9275 ± 0.0008

0.9539 ± 0.0007

Levine32dim

ACDC

0.9943 ± 0.0006

0.9939 ± 0.0007

0.9380 ± 0.0052

0.9791 ± 0.0020

LDA

0.9809 ± 0.0003

0.9807 ± 0.0004

0.9595 ± 0.0006

0.9830 ± 0.0002

Muscle

ACDC

0.8787 ± 0.0101

0.8784 ± 0.0089

0.6750 ± 0.0168

0.7593 ± 0.0190

LDA

0.9240 ± 0.0011

0.9238 ± 0.0011

0.7606 ± 0.0031

0.8295 ± 0.0031

Samusik01

ACDC

0.9682 ± 0.0027

0.9731 ± 0.0019

0.9347 ± 0.0047

0.9616 ± 0.0021

LDA

0.9757 ± 0.0002

0.9759 ± 0.0002

0.9482 ± 0.0004

0.9735 ± 0.0005

  1. Data shown as mean ± standard deviation