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Table 6 Summary of results for the fastest measures on the Benchmark 2 datasets

From: Speeding up the Consensus Clustering methodology for microarray data analysis

 

Precision

 

Novartis

St. Jude

Normal

Gaussian3

Gaussian5

Simulated6

WCSS-K-means-C

⑤

➏

9

➌

4

⑦

WCSS-R-R0

⑤

➏

9

-

➌

⑦

G-Gap-K-means-R

⑦

4

7

➌

8

3

G-Gap-R-R5

⑤

⑦

7

➌

7

3

FOM-K-means-C

➍

⑤

6

➌

-

⑤

FOM-K-means-S

➍

⑦

4

-

-

4

FOM-R-R5

7

-

10

➌

-

⑦

FOM-Hier-A

➍

8

6

➌

-

⑤

DIFF-FOM-K-means-C

⑦

3

7

➌

29

3

FC-Hier-A

5 - 6

➏

10

➌

➎

⑤

FC-Hier-C

➍ - ⑤

⑤ - ➏

10

➌

➎

⑤

Gold solution

4

6

13

3

5

6

  1. A summary of the best performing measures taken from the benchmarking of Giancarlo et al., with the addition of FC, with H = 250 and p = 80%. The table legend is as in Table 1. The timing results are not reported since the experiments have been performed on a computer other than the AMD Athlon.
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Algorithms for Molecular Biology

ISSN: 1748-7188