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Table 2 Algorithms ranked by quartile comparisons

From: A systematic comparison of genome-scale clustering algorithms

 

Average Quartile

Small (3-10 genes)

Medium (11-100 genes)

Large (101-1000 genes)

Clustering Method

 

Quartile

BAT5 Jaccard

Quartile

BAT5 Jaccard

Quartile

BAT5 Jaccard

K-Clique Communities

1.00

1

0.7531

1

0.4465

1

0.4915

Maximal Clique

1.00

1

0.8433

1

0.4081

 

0.0000

Paraclique

1.00

1

0.7576

1

0.4285

1

0.4169

Ward (H)

1.33

2

0.5782

1

0.4011

1

0.5723

CAST

1.67

1

0.7455

3

0.3146

1

0.4994

QT Clust

2.00

2

0.5473

2

0.3670

2

0.3944

Complete (H)

2.33

3

0.3933

2

0.3677

2

0.3419

NNN

2.67

2

0.5521

2

0.3705

4

0.2406

K-Means

3.00

4

0.2573

3

0.3015

2

0.3463

SOM

3.00

4

0.3260

2

0.3286

3

0.3282

WGCNA

3.00

3

0.4391

3

0.3106

3

0.2949

Average (H)

3.33

3

0.4087

4

0.2792

3

0.3037

McQuitty (H)

3.33

3

0.4594

3

0.3065

4

0.2868

CLICK

4.00

4

0.0339

4

0.1453

4

0.2817

  1. Results from Figure 1 are displayed by quartile (1 = top 25% - 4 = bottom 25%), with missing values for maximal clique discarded. (H) denotes Hierarchical Clustering agglomeration method.