Skip to main content

Table 2 Results for KL

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

Limphoma

K-means-R

4

27

3

22

29

24

2.7 × 103

3.4 × 103

9.3 × 103

9.0 × 103

K-means-A

25

➌

3

â‘¡

7

16

2.3 × 103

2.4 × 103

5.7 × 103

6.2 × 103

K-means-C

2

➌

⑦

â‘¡

26

24

3.0 × 103

2.6 × 103

5.0 × 103

5.8 × 103

K-means-S

4

â‘£

12

8

13

16

4.0 × 103

2.9 × 103

8.0 × 103

8.5 × 103

Hier-A

⑦

➌

3

â‘¡

17

12

1.9 × 103

6.0 × 102

2.1 × 103

2.5 × 103

Hier-C

10

➌

2

â‘¡

16

15

1.6 × 103

1.1 × 103

2.5 × 103

2.1 × 103

Hier-S

21

7

⑦

9

15

25

3.4 × 103

1.3 × 103

3.7 × 103

4.9 × 103

Gold solution

6

3

8

3

5

18

-

-

-

-

  1. A summary of the results for KL on all algorithms and on all datasets. The columns under the label precision indicate the number of clusters predicted by KL, while the remaining four indicate the timing in milliseconds for the execution of the corresponding experiment.
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us