Collin Leiber
Postdoctoral Researcher
Postdoctoral Researcher
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Email
[email protected]
Publications
Data with Density-Based Clusters : A Generator for Systematic Evaluation of Clustering Algorithms
Philipp Jahn, Christian M.M. Frey, Anna Beer, Collin Leiber, Thomas Seidl
2024
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Proceedings
Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering
Lena G.M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant
2023
2023 SIAM International Conference on Data Mining, SDM 2023
k-SubMix : Common Subspace Clustering on Mixed-Type Data
Mauritius Klein, Collin Leiber, Christian Böhm
2023
Machine Learning and Knowledge Discovery in Databases
Application of Deep Clustering Algorithms
Collin Leiber, Claudia Plant, Lukas Miklautz, Christian Böhm
2023
CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
Benchmarking Deep Clustering Algorithms With ClustPy
Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Bohm
2023
Proceedings - 23rd IEEE International Conference on Data Mining Workshops, ICDMW 2023
Non-Redundant Image Clustering of Early Medieval Glass Beads
Lukas Miklautz, Andrii Shkabrii, Collin Leiber, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Bohm, Claudia Plant
2023
2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings
Automatic Parameter Selection for Non-Redundant Clustering
Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm
2022
Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022
The DipEncoder : Enforcing Multimodality in Autoencoders
Collin Leiber, Lena G.M. Bauer, Michael Neumayr, Claudia Plant, Christian Böhm
2022
KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Dip-based Deep Embedded Clustering with k-Estimation
Collin Leiber, Lena G.M. Bauer, Benjamin Schelling, Christian Böhm, Claudia Plant
2021
KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining