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Table 5 Top ranking 81 covariate clustering methods from clusterSim

From: Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes

Index metric

Index value

Distance measure

Clustering method

No. of clusters

Silhouette

0.6662

Generalized Distance Measure

Partitioning Around Medoids

2

Baker & Hubert

0.9954

Chebyschev

Hierarchical - Single linkage

2

Hubert & Levine

0.0290

Generalized Distance Measure

Hierarchical - Complete linkage

25

 

Generalized Distance Measure

Hierarchical - Average linkage

11

Generalized Distance Measure

Hierarchical - Average linkage

14

Generalized Distance Measure

Hierarchical - Average linkage

12

  1. The optimal distance measure and clustering method using three separate indices are shown along with the associated index value in each case. Where no index metric or value is given, an attempt was made to create more informative clusters rather than optimize a clustering index.