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Table 4 Distance correlations with the best choice of rank r for different matrix factorization methods on nine datasets

From: Sparse data embedding and prediction by tropical matrix factorization

Dataset

Rank r

STMF

NMF

PMF

Min.

Median

Max.

AML

3

0.650

0.831*

0.845

0.636

0.623

COLON

3

0.585

0.647

0.688

0.586

0.707*

GBM

3

0.684

0.702*

0.762

0.325

0.330

LIHC

2

0.493

0.515

0.588

0.311

0.649*

LUSC

3

0.498

0.562

0.731

0.697

0.799*

OV

4

0.420

0.569*

0.601

0.347

0.563

SKCM

3

0.480

0.521

0.605

0.633

0.808*

SARC

3

0.493

0.584

0.610

0.649*

0.588

BIC

3

0.350

0.392

0.531

0.227

0.427*

  1. Result of best method in the comparison between STMF and NMF shown in bold. Best result among all three methods (STMF, NMF, PMF) indicated by asterisk