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