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Table 7 Results for G-FOM

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

PBM

CNS Rat

Leukemia

NCI60

Lymphoma

K-means-R

⑦

5

6

8

â‘¥

7

2.9 × 104

1.9 × 105

1.3 × 106

6.7 × 105

K-means-A

2

➌

⑦

â‘¡

â‘¥

6

2.2 × 104

9.3 × 104

5.5 × 105

2.7 × 105

K-means-C

2

â‘£

2

â‘£

7

6

1.9 × 104

9.4 × 104

5.5 × 105

2.6 × 105

K-means-S

3

5

2

â‘¡

â‘¥

8

2.9 × 104

1.0 × 105

7.1 × 105

3.6 × 105

R-R0

2

7

2

5

7

4

2.6 × 103

3.1 × 104

1.7 × 105

5.3 × 104

R-R5

4

â‘£

2

6

â‘¥

4

3.9 × 103

3.7 × 104

2.1 × 105

7.6 × 104

R-R2

⑦

5

2

5

8

4

3.4 × 103

3.8 × 104

2.2 × 105

7.2 × 104

Hier-A

3

➌

⑦

â‘¡

8

2

1.6 × 103

7.5 × 103

5.1 × 104

1.8 × 104

Hier-C

10

â‘£

2

â‘£

8

2

1.6 × 103

7.7 × 103

4.5 × 104

1.8 × 104

Hier-S

⑦

â‘¡

2

â‘¡

2

2

1.6 × 103

7.4 × 103

4.9 × 105

1.7 × 104

Gold solution

6

3

8

3

5

18

-

-

-

-

  1. A summary of the results for G-FOM on all algorithms and on all datasets. The columns under the label precision indicate the number of clusters predicted by G-FOM, while the remaining four indicate the timing in milliseconds for the execution of the corresponding experiment. Cells with a dash indicate that G-FOM did not give any useful indication.
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BMC Bioinformatics

ISSN: 1471-2105

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