8 citations · 27 across the 10 of their papers we have counts for
3 papers · 1 filter
Extension of the Dip-test Repertoire -- Efficient and Differentiable p-value Calculation for Clustering
Lena G. M. Bauer, Collin Leiber, Christian Böhm +1
Over the last decade, the Dip-test of unimodality has gained increasing interest in the data mining community as it is a parameter-free statistical test that reliably rates the mod…
Automatic Parameter Selection for Non-Redundant Clustering
Collin Leiber, Dominik Mautz, Claudia Plant +1
High-dimensional datasets often contain multiple meaningful clusterings in different subspaces. For example, objects can be clustered either by color, weight, or size, revealing di…
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores
Fiete Lüer, Tobias Weber, Maxim Dolgich +1
Anomaly detection in imbalanced datasets is a frequent and crucial problem, especially in the medical domain where retrieving and labeling irregularities is often expensive. By com…