Dominik Mautz

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 17

Top Topics

Neighborhood Information

Clustering Algorithm

Top Venues

Publications

Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm
Automatic Parameter Selection for Non-Redundant Clustering. CoRR (2023)
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. ICDE (2023)
Walid Durani, Dominik Mautz, Claudia Plant, Christian Böhm
DBHD: Density-based clustering for highly varying density. ICDM (2022)
Collin Leiber, Dominik Mautz, Claudia Plant, Christian Böhm
Automatic Parameter Selection for Non-Redundant Clustering. SDM (2022)
Lukas Miklautz, Lena G. M. Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant
Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. IJCAI (2021)
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
Incorporating User's Preference into Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 33 (12) (2021)
Lukas Miklautz, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm, Claudia Plant
Deep Embedded Non-Redundant Clustering. AAAI (2020)
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. ACM Trans. Knowl. Discov. Data 14 (5) (2020)
Dominik Mautz, Claudia Plant, Christian Böhm
DeepECT: The Deep Embedded Cluster Tree. Data Sci. Eng. 5 (4) (2020)
Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant
Incorporating User's Preference into Attributed Graph Clustering. CoRR (2020)
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. GI-Jahrestagung (2019)
Fiete Lüer, Dominik Mautz, Christian Böhm
Anomaly Detection in Time Series using Generative Adversarial Networks. ICDM Workshops (2019)
Dominik Mautz, Claudia Plant, Christian Böhm
Deep Embedded Cluster Tree. ICDM (2019)
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces. KDD (2018)
Dominik Mautz, Wei Ye, Claudia Plant, Christian Böhm
Towards an Optimal Subspace for K-Means. KDD (2017)
Wei Ye, Linfei Zhou, Dominik Mautz, Claudia Plant, Christian Böhm
Learning from Labeled and Unlabeled Vertices in Networks. KDD (2017)
Dominik Mautz, Christian Böhm, Claudia Plant
Subspace Clustering Ensembles through Tensor Decomposition. ICDM Workshops (2016)