Before revision:  When multiple hierarchical clusterings of the data are possible, it is useful to represent uncertainty in the clustering through various probabilistic quantities  . Existing approaches represent uncertainty for a range of models;
After 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;