@junpenglao I am slightly confused about the sentence above. Could you please clarify.
Ok, so determining the number of clusters in a data set is sometimes really hard. But let’s say I make one good guess on the number of components in Dirichlet process and the model converges with good autocorrelation.
Does that ALWAYS mean that the model found an accurate number of clusters, or could the model converge while still being far from the true number of clusters?