3 citations · 6 across the 9 of their papers we have counts for
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cs.LG2023★ 3 cited
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…
cs.LG2023★ 2 cited
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…