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Table 1 Comparing performance of different algorithms on a subset of a non-small cell lung cancer dataset, with k=15

From: Optimization and expansion of non-negative matrix factorization

 

SCD-MSE

LEE-MSE

LEE-MSE-1

SCD-MKL

LEE-MKL

MSE

0.155

0.1565

0.1557

0.1574

0.1579

MKL

0.01141

0.01149

0.01145

0.01119

0.01122

Rel. tol.

1.325e-05

0.0001381

0.000129

6.452e-08

9.739e-05

Total epochs

5000

5000

5000

5000

5000

Time (Sec.)

1.305

1.35

8.456

49.17

41.11

  1. MSE = mean square error; MKL = mean KL divergence; Rel. tol. = relative tolerance. Elapsed time = actual running time. SCD-MSE = SCD algorithm with MSE loss and 50 inner iterations and LEE-MSE-1 = Lee’s algorithm with MSE loss and 1 inner iteration, i.e., the original multiplicative algorithm
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BMC Bioinformatics

ISSN: 1471-2105

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