Benjamin Schelling

According to our database, Benjamin Schelling authored at least 10 papers between 2016 and 2021.

Collaborative distances:

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

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

2020

Dataset-Transformation: improving clustering by enhancing the structure with DipScaling and DipTransformation.

Benjamin Schelling, Claudia Plant

Knowl. Inf. Syst., 2020

The Data Mining Group at University of Vienna.

Muzaffer Can Altinigneli, Lena Greta Marie Bauer, Sahar Behzadi, Robert Fritze, Katerina Hlavácková-Schindler, Maximilian Leodolter, Lukas Miklautz, Martin Perdacher, Ylli Sadikaj, Benjamin Schelling, Claudia Plant

Datenbank-Spektrum, 2020

Utilizing Structure-Rich Features to Improve Clustering.

Benjamin Schelling, Lena Greta Marie Bauer, Sahar Behzadi, Claudia Plant

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data.

Sahar Behzadi, Benjamin Schelling, Claudia Plant

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape.

Benjamin Schelling, Lukas Miklautz, Claudia Plant

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

RandomLink - Avoiding Linkage-Effects by Employing Random Effects for Clustering.

Gert Sluiter, Benjamin Schelling, Claudia Plant

Proceedings of the Database and Expert Systems Applications, 2020

2019

DipTransformation: Enhancing the Structure of a Dataset and thereby improving Clustering.

Benjamin Schelling, Claudia Plant

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

KMN - Removing Noise from K-Means Clustering Results.

Benjamin Schelling, Claudia Plant

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

2016

Clustering with the Levy Walk: "Hunting" for Clusters.

Benjamin Schelling, Claudia Plant

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016