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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