The Dirichlet process provides a very interesting approach to understand group assignments and models for clustering effects. Often time we encounter the k-means approach. However, it is necessary to have a fixed number of clusters. Often we encounter situations where we don’t know how many fixed clusters we need. Suppose we’re trying to identify