English

Some issues in robust clustering

Machine Learning 2023-08-29 v1 Machine Learning Methodology

Abstract

Some key issues in robust clustering are discussed with focus on Gaussian mixture model based clustering, namely the formal definition of outliers, ambiguity between groups of outliers and clusters, the interaction between robust clustering and the estimation of the number of clusters, the essential dependence of (not only) robust clustering on tuning decisions, and shortcomings of existing measurements of cluster stability when it comes to outliers.

Keywords

Cite

@article{arxiv.2308.14478,
  title  = {Some issues in robust clustering},
  author = {Christian Hennig},
  journal= {arXiv preprint arXiv:2308.14478},
  year   = {2023}
}

Comments

11 pages, no figures

R2 v1 2026-06-28T12:05:56.631Z