Some issues in robust clustering
| Title: | Some issues in robust clustering |
|---|---|
| Authors: | Hennig, Christian |
| Publication Year: | 2023 |
| Collection: | Computer Science Statistics |
| Subject Terms: | Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Methodology, 62H30 |
| More Details: | 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. Comment: 11 pages, no figures |
| Document Type: | Working Paper |
| Access URL: | http://arxiv.org/abs/2308.14478 |
| Accession Number: | edsarx.2308.14478 |
| Database: | arXiv |
| Description not available. |