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Table 1 MCLUST vs. MEDEA Comparison for MitoMix Data

From: Clustering with position-specific constraints on variance: Applying redescending M-estimators to label-free LC-MS data analysis

 

MCLUST

MEDEA

Number of clusters

23448

20765

Average cluster size

3.95

4.47

Average cluster diameter in m/z

6.25E-4

8.34E-4

Average cluster diameter in RT

0.0778

0.1060

Computing time [s]

2342

198

  1. General characteristics of the two clustering algorithms on the MitoMix dataset. For computing time details, see Section "Implementation".
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BMC Bioinformatics

ISSN: 1471-2105

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