As Table 1 makes clear, the EM estimator produces models that are extremely competitive in many-to-1 accuracy and Variation of Information, but are significantly worse in 1-to-1 accuracy.
further, when we examined how the posterior likelihoods varied with increasing iterations of Gibbs sampling, it became apparent that the likelihood was still increasing after 50,000 iterations.