To induce a clustering C on a document D, we run EM on our model, treating D as observed data and C as hidden data.
we use EM to iteratively estimate the model parameters, Θ, from documents that are probabilistically labeled (with clusterings) and apply the resulting model to probabilistically re-label a document (with clusterings).