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Table 9 Summary of results for the best performing measures

From: Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistics and Model Explorer

 

Precision

Timing

 

CNS Rat

Leukemia

NCI60

Lymphoma

Yeast

CNS Rat

Leukemia

NCI60

Lymphoma

WCSS-K-means-C

⑤

➌

➑

8

④

1.7 × 103

1.3 × 103

5.0 × 103

4.0 × 103

WCSS-R-R0

⑤

④

⑨

➑

④

1.2 × 103

8.0 × 102

4.1 × 103

3.0 × 103

G-Gap-K-means-R

⑦

➌

4

④

⑥

2.4 × 103

2.0 × 103

8.3 × 104

8.4 × 103

G-Gap-R-R5

⑤

④

2

②

④

1.2 × 103

8.0 × 102

4.5 × 104

3.2 × 103

FOM-K-means-C

⑦

8

➑

④

④

1.9 × 104

9.4 × 104

5.5 × 105

2.6 × 105

FOM-K-means-S

➏

➌

➑

8

④

2.9 × 104

1.0 × 105

7.1 × 105

3.6 × 105

FOM-R-R5

➏

➌

⑦

5

➎

3.9 × 103

3.7 × 104

2.1 × 105

7.6 × 104

FOM-Hier-A

⑦

➌

⑦

6

⑥

1.6 × 103

7.5 × 103

5.1 × 104

1.8 × 104

DIFF-FOM-K-means-C

⑦

➌

⑦

④

3

1.9 × 104

9.4 × 104

5.5 × 105

2.6 × 105

Clest-F-K-means-R

➏

➌

15

②

④

1.2 × 106

-

-

-

Clest-FM-K-means-R

8

④

➑

②

④

1.2 × 106

-

-

-

Consensus-K-means-R

➏

④

⑦

➌

⑥

1.0 × 106

1.3 × 106

3.4 × 106

3.0 × 106

Consensus-K-means-A

⑦

➌

➑

➌

⑥

1.3 × 106

1.6 × 106

3.0 × 106

2.6 × 106

Consensus-K-means-C

➏

➌

➑

④

⑥

1.3 × 106

1.8 × 106

2.9 × 106

2.6 × 106

Consensus-K-means-S

⑦

④

10

②

⑥

1.5 × 106

1.8 × 106

3.2 × 106

2.8 × 106

Consensus-Hier-A

⑦

➌

➑

➌

➎

9.2 × 105

7.9 × 105

2.0 × 106

1.9 × 106

Consensus-Hier-C

➏

④

➑

5

⑥

8.7 × 105

6.9 × 105

2.0 × 106

2.0 × 106

Gold solution

6

3

8

3

5

-

-

-

-

  1. A summary of the best performances obtained by each measure. The PBM dataset has been excluded because no measure gave useful information about its cluster structure.
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BMC Bioinformatics

ISSN: 1471-2105

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