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Anna Beer
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Over-optimistic evaluation and reporting of novel cluster algorithms: An illustrative study
T Ullmann, A Beer, M Hünemörder, T Seidl, AL Boulesteix
Advances in Data Analysis and Classification 17 (1), 211-238, 2023
92023
Fatbird: A tool for flight and trajectories analyses of birds
D Kazempour, A Beer, F Herzog, D Kaltenthaler, JY Lohrer, T Seidl
2018 IEEE 14th International Conference on e-Science (e-Science), 75-82, 2018
82018
Luck-linear correlation clustering using cluster algorithms and a knn based distance function
A Beer, D Kazempour, L Stephan, T Seidl
Proceedings of the 31st International Conference on Scientific and …, 2019
62019
MORe++: k-Means Based Outlier Removal on High-Dimensional Data
A Beer, J Lauterbach, T Seidl
Similarity Search and Applications: 12th International Conference, SISAP …, 2019
62019
A Generator for Subspace Clusters.
A Beer, NS Schüler, T Seidl
LWDA, 69-73, 2019
62019
KISS-A fast kNN-based Importance Score for Subspaces.
A Beer, E Allerborn, V Hartmann, T Seidl
EDBT, 391-396, 2021
52021
PARADISO: an interactive approach of parameter selection for the mean shift algorithm
D Kazempour, A Beer, JY Lohrer, D Kaltenthaler, T Seidl
Proceedings of the 30th International Conference on Scientific and …, 2018
52018
I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering
D Kazempour, A Beer, P Kröger, T Seidl
2020 International Conference on Data Mining Workshops (ICDMW), 316-323, 2020
42020
Rock–Let the points roam to their clusters themselves
A Beer, D Kazempour, T Seidl
Proceedings of the 22nd International Conference on Extending Database …, 2019
42019
SCAR: spectral clustering accelerated and robustified
E Hohma, CMM Frey, A Beer, T Seidl
Proceedings of the VLDB Endowment 15 (11), 3031-3044, 2022
32022
Cluster Flow-an Advanced Concept for Ensemble-Enabling, Interactive Clustering
S Obermeier, A Beer, F Wahl, T Seidl
Gesellschaft für Informatik, Bonn, 2021
32021
Graph Ordering and Clustering: A Circular Approach
A Beer, T Seidl
Proceedings of the 31st International Conference on Scientific and …, 2019
32019
Chain-detection for DBSCAN
J Held, A Beer, T Seidl
Gesellschaft für Informatik, Bonn, 2019
32019
Connecting the Dots--Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering
A Beer, A Draganov, E Hohma, P Jahn, CMM Frey, I Assent
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
22023
LUCKe—Connecting Clustering and Correlation Clustering
A Beer, L Stephan, T Seidl
2021 International Conference on Data Mining Workshops (ICDMW), 431-440, 2021
22021
Orderings of Data-More Than a Tripping Hazard: Visionary
A Beer, V Hartmann, T Seidl
Proceedings of the 32nd International Conference on Scientific and …, 2020
22020
Grace-Limiting the Number of Grid Cells for Clustering High-Dimensional Data.
A Beer, D Kazempour, J Busch, A Tekles, T Seidl
LWDA, 11-22, 2020
22020
Angle-Based Clustering
A Beer, D Seeholzer, NS Schüler, T Seidl
Similarity Search and Applications: 13th International Conference, SISAP …, 2020
22020
Chain-detection Between Clusters
J Held, A Beer, T Seidl
Datenbank-Spektrum 19 (3), 219-230, 2019
22019
CODEC-Detecting Linear Correlations in Dense Clusters using coMAD-based PCA.
MAX Hünemörder, A Beer, D Kazempour, T Seidl
LWDA, 111-114, 2019
22019
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