Table 3 Average running times in seconds 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 [s] | NMF [s] | PMF [s] |
|---|---|---|---|---|
AML | 3 | 117.953 | 0.336 | 0.028 |
COLON | 3 | 153.398 | 0.312 | 0.864 |
GBM | 3 | 191.204 | 0.353 | 1.996 |
LIHC | 2 | 236.655 | 0.467 | 1.794 |
LUSC | 3 | 239.329 | 0.456 | 3.538 |
OV | 4 | 251.328 | 0.336 | 2.159 |
SKCM | 3 | 310.401 | 0.395 | 6.309 |
SARC | 3 | 186.475 | 0.398 | 0.215 |
BIC | 3 | 221.669 | 0.526 | 0.248 |