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Sebastian Macaluso

2 accepted papers

2021

Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering

AISTATS 2021poster

Hierarchical clustering is a fundamental task often used to discover meaningful structures in data. Due to the combinatorial number of possible hierarchical clusterings, approximate algorithms are typically used for inference. In contrast to existing methods, we present novel dynamic-programming alg…

2021

Exact and approximate hierarchical clustering using A*

UAI 2021poster

Hierarchical clustering is a critical task in numerous domains. Many approaches are based on heuristics and the properties of the resulting clusterings are studied post hoc. However, in several applications, there is a natural cost function that can be used to characterize the quality of the cluster…

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