34 citations · 40 across the 7 of their papers we have counts for
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stat.ML2019★ 1 cited
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies
Weipeng Huang, Guangyuan Piao, Raul Moreno +1
Hierarchical clustering has been shown to be valuable in many scenarios. Despite its usefulness to many situations, there is no agreed methodology on how to properly evaluate the h…
stat.ML2019
Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach
Weipeng Huang, Nishma Laitonjam, Guangyuan Piao +1
This paper focuses on the problem of hierarchical non-overlapping clustering of a dataset. In such a clustering, each data item is associated with exactly one leaf node and each in…