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Guarantees for Hierarchical Clustering by the Sublevel Set method

Machine Learning 2020-07-07 v2 Machine Learning

Abstract

Meila (2018) introduces an optimization based method called the Sublevel Set method, to guarantee that a clustering is nearly optimal and "approximately correct" without relying on any assumptions about the distribution that generated the data. This paper extends the Sublevel Set method to the cost-based hierarchical clustering paradigm proposed by Dasgupta (2016).

Keywords

Cite

@article{arxiv.2006.10274,
  title  = {Guarantees for Hierarchical Clustering by the Sublevel Set method},
  author = {Marina Meila},
  journal= {arXiv preprint arXiv:2006.10274},
  year   = {2020}
}

Comments

7 pages

R2 v1 2026-06-23T16:25:20.162Z