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Table 3 The average NMIs, ACCs, ARIs and standard errors obtained by the ISC and other comparison partners on text datasets

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

 

Methods

BBC2V

BBC3V

BBCSport2V

BBCSport3V

Cora

NMI

SV1

0.004 ±0.000

0.007 ±0.000

0.067 ±0.005

0.032 ±0.000

0.124 ±0.001

 

SV2

0.006 ±0.000

0.007 ±0.000

0.037 ±0.001

0.064 ±0.000

0.010 ±0.000

 

SV3

——

0.007 ±0.000

——

0.093 ±0.001

——

 

Coreg

0.007 ±0.004

0.062 ±0.031

0.139 ±0.004

0.146 ±0.027

0.102 ±0.008

 

SNF

0.307 ±0.002

0.147 ±0.001

0.303 ±0.001

0.119 ±0.004

0.273 ±0.001

 

ECMC

——

——

——

0.373 ±0.002

——

 

ISC-C

0.397 ±0.000

0.328 ±0.006

0.486 ±0.001

0.324 ± 0.005

0.305 ±0.001

ACC

SV1

0.241 ±0.000

0.260 ±0.000

0.376 ±0.002

0.345 ±0.000

0.313 ±0.002

 

SV2

0.242 ±0.000

0.249 ±0.000

0.369 ±0.000

0.386 ±0.000

0.251 ±0.000

 

SV3

——

0.260 ±0.000

——

0.436 ±0.000

——

 

Coreg

0.248 ±0.009

0.297 ±0.021

0.443 ±0.002

0.462 ±0.022

0.344 ±0.010

 

SNF

0.307 ±0.003

0.357 ±0.002

0.491 ±0.002

0.390 ±0.003

0.430 ±0.005

 

ECMC

——

——

——

0.612 ±0.003

——

 

ISC-C

0.479 ±0.004

0.443 ±0.003

0.583 ±0.001

0.532 ±0.005

0.508 ±0.000

ARI

SV1

0.000 ±0.000

0.021 ±0.002

0.085 ±0.002

0.000 ±0.000

-0.000 ±0.002

 

SV2

0.000 ±0.000

0.006 ±0.000

-0.011 ±0.003

0.000 ±0.000

0.039 ±0.000

 

SV3

——

——

——

0.000 ±0.000

0.078 ±0.000

 

Coreg

0.002 ±0.003

0.125 ±0.013

0.059 ±0.005

0.015 ±0.013

0.060 ±0.030

 

SNF

0.105 ±0.001

0.110 ±0.001

0.090 ±0.005

0.027 ±0.002

0.370 ±0.002

 

ECMC

——

——

——

0.370 ±0.002

——

 

ISC-C

0.269 ±0.005

0.356 ±0.004

0.194 ±0.001

0.172 ±0.005

0.197 ±0.005

  1. The highest NMI, ACCs and ARIs are marked in bold