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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…

Cited by 17SourcePDFScholar
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…