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2020 – today
- 2024
[b1]Collin Leiber:
Clustering in transformed feature spaces by analyzing distinct modes. Ludwig Maximilian University of Munich, Germany, 2024- [c9]Philipp Jahn, Christian M. M. Frey, Anna Beer, Collin Leiber
, Thomas Seidl:
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. ECML/PKDD (7) 2024: 3-21 - [i6]Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz de Araujo, Dominik Répás, Claudia Plant, Benjamin Roth:
Text-Guided Alternative Image Clustering. CoRR abs/2406.18589 (2024) - [i5]Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant:
SHADE: Deep Density-based Clustering. CoRR abs/2410.06265 (2024) - [i4]Collin Leiber, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters. CoRR abs/2410.09491 (2024) - [i3]Lukas Miklautz, Timo Klein, Kevin Sidak, Collin Leiber, Thomas Lang, Andrii Shkabrii, Sebastian Tschiatschek, Claudia Plant:
Breaking the Reclustering Barrier in Centroid-based Deep Clustering. CoRR abs/2411.02275 (2024) - 2023
- [c8]Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
Application of Deep Clustering Algorithms. CIKM 2023: 5208-5211 - [c7]Lukas Miklautz, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm, Claudia Plant:
Non-Redundant Image Clustering of Early Medieval Glass Beads. DSAA 2023: 1-12 - [c6]Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
Benchmarking Deep Clustering Algorithms With ClustPy. ICDM (Workshops) 2023: 625-632 - [c5]Mauritius Klein, Collin Leiber, Christian Böhm:
k-SubMix: Common Subspace Clustering on Mixed-Type Data. ECML/PKDD (1) 2023: 662-677 - [c4]Lena G. M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant:
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. SDM 2023: 109-117 - [i2]Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm:
Automatic Parameter Selection for Non-Redundant Clustering. CoRR abs/2312.11952 (2023) - [i1]Lena G. M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant:
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering. CoRR abs/2312.12050 (2023) - 2022
- [c3]Collin Leiber, Lena G. M. Bauer, Michael Neumayr, Claudia Plant, Christian Böhm:
The DipEncoder: Enforcing Multimodality in Autoencoders. KDD 2022: 846-856 - [c2]Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm:
Automatic Parameter Selection for Non-Redundant Clustering. SDM 2022: 226-234 - 2021
- [c1]Collin Leiber, Lena G. M. Bauer, Benjamin Schelling, Christian Böhm, Claudia Plant:
Dip-based Deep Embedded Clustering with k-Estimation. KDD 2021: 903-913
Coauthor Index
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