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Sublinear Algorithms for Estimating Single-Linkage Clustering Costs

Peng, Pan et al.
arXiv (All) · Papers
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data-structures-and-algorithms
Single-linkage clustering (SLC) is a fundamental method for hierarchical data analysis. In the distance setting, a $k$-clustering produced by SLC can be obtained by computing a minimum spanning tree (MST) and deleting its $k-1$ heaviest edges. This naturally induces a cost profile for the SLC hierar
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