hierarchical Dirichlet process
E2150778
UNEXPLORED
The hierarchical Dirichlet process is a Bayesian nonparametric model that allows groups of data to share an unbounded set of mixture components, enabling flexible clustering with a potentially infinite number of shared topics or clusters.
All labels observed (1)
| Label | Occurrences |
|---|---|
| hierarchical Dirichlet process canonical | 1 |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.