An Axiomatic Definition of Hierarchical Clustering
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Abstract (arXiv)
In this paper, we take an axiomatic approach to defining a population hierarchical clustering for piecewise constant densities, and in a similar manner to Lebesgue integration, extend this definition to more general densities. When the density satisfies some mild conditions, e.g., when it has connected support, is continuous, and vanishes only at infinity, or when the connected components of the density satisfy these conditions, our axiomatic definition results in Hartigan's definition of cluster tree.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 9 of its 38 references that are in the map. First posted on arXiv 4 Jul 2024.
Builds on
9 of 38 references.
References · 9
- 2015A cost function for similarity-based hierarchical clusteringcited by 63
- 2014Consistent procedures for cluster tree estimation and pruningcited by 9
- 2018The modal age of Statisticscited by 9
- 2016Mixture model modal clusteringcited by 8
- 2018Possibility results for graph clustering: A novel consistency axiomcited by 6
- 2013Cluster Trees on Manifoldscited by 5
- 2015Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clusteringcited by 5
- 2016Statistical Inference for Cluster Treescited by 4
- 2021Moving Up the Cluster Tree with the Gradient Flowcited by 3
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Citing papers per year: 2025: 1; 2026: 2.
3 papers.