362 citations · 612 across the 28 of their papers we have counts for
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stat.ME2020
An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture based clustering
Christian Hennig, Pietro Coretto
We introduce a new approach to deciding the number of clusters. The approach is applied to Optimally Tuned Robust Improper Maximum Likelihood Estimation (OTRIMLE; Coretto and Henni…
stat.OT2020★ 1 cited
Probability Models in Statistical Data Analysis: Uses, Interpretations, Frequentism-As-Model
Christian Hennig
Note: Published now as a chapter in "Handbook of the History and Philosophy of Mathematical Practice" (Springer Nature, editor B. Sriraman, https://doi.org/10.1007/978-3-030-19071-…
stat.ME2020
Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes
Serhat Emre Akhanli, Christian Hennig
A key issue in cluster analysis is the choice of an appropriate clustering method and the determination of the best number of clusters. Different clusterings are optimal on the sam…