Some key issues in robust clustering are discussed with focus on the 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.

Hennig, C. (2023). Some Issues in Robust Clustering. Cham : Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-09034-9_21].

Some Issues in Robust Clustering

Hennig, Christian
2023

Abstract

Some key issues in robust clustering are discussed with focus on the 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.
2023
Studies in Classification, Data Analysis, and Knowledge Organization
183
191
Hennig, C. (2023). Some Issues in Robust Clustering. Cham : Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-09034-9_21].
Hennig, Christian
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1060130
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