53c3bce66e43be4f209556518c2fcb54-Reviews.html

Summary: The paper presents a hard clustering algorithm for clustering batch sequential continuous data. The algorithm is derived by performing a low variance asymptotic analysis of the Gibbs sampling algorithm for the dependent Dirichlet process Gaussian mixture model (DDPMM). This is a well written paper that is easy to follow. The work is technically sound and I only have a few minor concerns. The authors perform a small variance asymptotic analysis for the DDPMM Gibbs sampler and although a similar analysis has previously been performed on the Dirichlet process mixture Gibbs sampler, the model and algorithm considered here are sufficiently different.