Hierarchical Dirichlet Processes (HDPs) offer a powerful framework for uncovering underlying structures within complex data distributions. HDP 1.0, in particular, stands out as a valuable tool for exploring the intricate dependencies between various features of a dataset. By leveraging a probabilistic approach, HDP 0.50 efficiently identifies cl