Before revision:  When multiple hierarchical clusterings of the data are possible, it is useful to represent uncertainty in the clustering through various probabilistic quantities, such as the distribution over tree structures and the marginal probabilities of subtrees. Existing approaches represent uncertainty for a range of models; however, they only provideapproximate inference.
After revision:  approximate inference.