# Some issues in robust clustering

arXiv: https://arxiv.org/abs/2308.14478 · HTML: https://mlsanity.com/paper/2308.14478/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 19 references that are in the map.
- First posted on arXiv 28 Aug 2023.

## Builds on (most cited first, 3 of 3)

- [Clustering strategy and method selection](https://mlsanity.com/paper/1503.02059/) (2015)
- [Identifying Mixtures of Mixtures Using Bayesian Estimation](https://mlsanity.com/paper/1502.06449/) (2015)
- [An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture based clustering](https://mlsanity.com/paper/2009.00921/) (2020)

## Abstract (arXiv)

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.