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Table 1 Consensus scores and Silhouette scores for the simulation datasets

From: Integrative subspace clustering by common and specific decomposition for applications on cancer subtype identification

 

Views/Methods

t=0.1

t=0.9

t=1

t=2

t=5

t=6

t=10

t=15

t=20

t=30

C-score

V1

0.9998

0.3974

0.2971

0.0244

1.45e-03

9.66e-04

3.50e-04

1.63e-04

9.48e-05

4.38e-05

 

V2

0.9999

0.4034

0.3033

0.0233

5.26e-04

2.61e-04

4.94e-05

1.90e-05

1.08e-05

5.13e-06

S-score

ISC-C

0.890

0.936

0.920

0.895

0.937

0.937

0.889

0.939

0.889

0.888

 

ISC-S1

0.639

0.660

0.671

0.718

0.753

0.754

0.759

0.761

0.762

0.764

 

ISC-S2

0.819

0.749

0.761

0.832

0.853

0.854

0.857

0.858

0.858

0.858

  1. The highest silhouette scores are marked in bold