Erich Schubert Professor of Data Mining
Schubert, Erich
VIAF ID: 5751152381787101950003 (Personal)
Permalink: http://viaf.org/viaf/5751152381787101950003
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Works
Title | Sources |
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The (black) art of runtime evaluation: Are we comparing algorithms or implementations? | |
Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? | |
DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN | |
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series | |
EmbAssi: embedding assignment costs for similarity search in large graph databases | |
Fast k-medoids Clustering in Rust and Python | |
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms | |
Generalized and efficient outlier detection for spatial, temporal, and high-dimensional data mining | |
Geodetic Distance Queries on R-Trees for Indexing Geographic Data | |
Interactive data mining with 3D-parallel-coordinate-trees | |
Interpreting and Unifying Outlier Scores | |
Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection | |
Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection | |
LoOP | |
Numerically stable parallel computation of (co-)variance | |
On Evaluation of Outlier Rankings and Outlier Scores | |
Outlier Detection in Arbitrarily Oriented Subspaces | |
Quality of Similarity Rankings in Time Series | |
SigniTrend | |
Visual Evaluation of Outlier Detection Models |