Figure 2
From: Bayesian clustering and feature selection for cancer tissue samples
Comparison of models found by the alternative algorithms. Logarithm of the Bayes factor of M1 vs. M2, where M1 is the model with the highest marginal likelihood value found in the two runs of the greedy algorithm and M2 is the corresponding model obtained from the MCMC runs. The Bayes factor is shown for each analyzed synthetic data set. Thus, five values are shown for each data set size.