Clustering with the Levy Walk: "Hunting" for Clusters. - Benjamin Schelling; Claudia Plant (ICDM Workshops, 2016)

KMN - Removing Noise from K-Means Clustering Results. - Benjamin Schelling; Claudia Plant (DaWaK, 2018)

DipTransformation: Enhancing the Structure of a Dataset and Thereby Improving Clustering. - Benjamin Schelling; Claudia Plant (ICDM, 2018)

RandomLink - Avoiding Linkage-Effects by Employing Random Effects for Clustering. - Gert Sluiter; Benjamin Schelling; Claudia Plant (DEXA (1), 2020)

Non-Linear Cluster Enhancement: Forcing Clusters into a Compact Shape. - Benjamin Schelling; Lukas Miklautz; Claudia Plant (ECAI, 2020)

ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data. - Sahar Behzadi; Benjamin Schelling; Claudia Plant (PAKDD (2), 2020)

Utilizing Structure-Rich Features to Improve Clustering. - Benjamin Schelling; Lena Greta Marie Bauer; Sahar Behzadi; Claudia Plant (ECML/PKDD (1), 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)

Dataset-Transformation: improving clustering by enhancing the structure with DipScaling and DipTransformation. - Benjamin Schelling; Claudia Plant (Knowl. Inf. Syst., 2020)

Dip-based Deep Embedded Clustering with k-Estimation. - Collin Leiber; Lena G. M. Bauer; Benjamin Schelling; Christian Böhm 001; Claudia Plant (KDD, 2021)