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Jessica Shi

2 accepted papers

2022

Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth

NeurIPS 2022accept

Obtaining scalable algorithms for \emph{hierarchical agglomerative clustering} (HAC) is of significant interest due to the massive size of real-world datasets. At the same time, efficiently parallelizing HAC is difficult due to the seemingly sequential nature of the algorithm. In this paper, we addr…

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2021

Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time

ICML 2021spotlight

We study the widely-used hierarchical agglomerative clustering (HAC) algorithm on edge-weighted graphs. We define an algorithmic framework for hierarchical agglomerative graph clustering that provides the first efficient $\tilde{O}(m)$ time exact algorithms for classic linkage measures, such as comp…