Collin Leiber

According to our database, Collin Leiber authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Clustering in transformed feature spaces by analyzing distinct modes.

Collin Leiber

PhD thesis, 2024

Text-Guided Alternative Image Clustering.

Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz de Araujo, Dominik Répás, Claudia Plant, Benjamin Roth

CoRR, 2024

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023

Extension of the Dip-test Repertoire - Efficient and Differentiable p-value Calculation for Clustering.

Lena G. M. Bauer, Collin Leiber, Christian Böhm, Claudia Plant

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

k-SubMix: Common Subspace Clustering on Mixed-Type Data.

Mauritius Klein, Collin Leiber, Christian Böhm

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Benchmarking Deep Clustering Algorithms With ClustPy.

Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm

Proceedings of the IEEE International Conference on Data Mining, 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 Böhm, Claudia Plant

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Application of Deep Clustering Algorithms.

Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Automatic Parameter Selection for Non-Redundant Clustering.

Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

The DipEncoder: Enforcing Multimodality in Autoencoders.

Collin Leiber, Lena G. M. Bauer, Michael Neumayr, Claudia Plant, Christian Böhm

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Dip-based Deep Embedded Clustering with k-Estimation.

Collin Leiber, Lena G. M. Bauer, Benjamin Schelling, Christian Böhm, Claudia Plant

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021