Erich Schubert

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 62

Top Venues

Ludwig Maximilians University Munich (PHD)

Education History

Ludwig Maximilians University Munich

PHD

Publications

Erik Thordsen, Erich Schubert
Explicit Formulae to Interchangeably use Hyperplanes and Hyperballs using Inversive Geometry. CoRR (2024)
Lars Lenssen, Erich Schubert
Medoid Silhouette clustering with automatic cluster number selection. Inf. Syst. 120 (2024)
Lars Lenssen, Erich Schubert
Sparse Partitioning Around Medoids. CoRR (2023)
Erich Schubert
Stop using the elbow criterion for k-means and how to choose the number of clusters instead. SIGKDD Explor. 25 (1) (2023)
Erik Thordsen, Erich Schubert
An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search. SISAP (2023)
Andreas Lang, Erich Schubert
Accelerating k-Means Clustering with Cover Trees. SISAP (2023)
Melanie Derksen, Julia Becker, Mohammad Fazleh Elahi, Angelika Maier, Marius Maile, Ingo Oliver Pätzold, Jonas Penningroth, Bettina Reglin, Markus Rothgänger, Philipp Cimiano, Erich Schubert, Silke Schwandt, Torsten W. Kuhlen, Mario Botsch, Tim Weißker
Who Did What When? Discovering Complex Historical Interrelations in Immersive Virtual Reality. ISMAR (2023)
Lars Lenssen, Erich Schubert
Medoid Silhouette clustering with automatic cluster number selection. CoRR (2023)
Erich Schubert, Andreas Lang
Data Aggregation for Hierarchical Clustering. CoRR (2023)
Lars Lenssen, Niklas Strahmann, Erich Schubert
Fast k-Nearest-Neighbor-Consistent Clustering. LWDA (2023)
Erich Schubert
Automatic Indexing for Similarity Search in ELKI. SISAP (2022)
Erik Thordsen, Erich Schubert
On Projections to Linear Subspaces. CoRR (2022)
Lars Lenssen, Erich Schubert
Clustering by Direct Optimization of the Medoid Silhouette. SISAP (2022)
Erik Thordsen, Erich Schubert
On Projections to Linear Subspaces. SISAP (2022)
Erik Thordsen, Erich Schubert
ABID: Angle Based Intrinsic Dimensionality - Theory and analysis. Inf. Syst. 108 (2022)
Daniel Boiar, Thomas Liebig, Erich Schubert
LOSDD: Leave-Out Support Vector Data Description for Outlier Detection. CoRR (2022)
Andreas Lang, Erich Schubert
BETULA: Fast clustering of large data with improved BIRCH CF-Trees. Inf. Syst. 108 (2022)
Lars Lenssen, Erich Schubert
Clustering by Direct Optimization of the Medoid Silhouette. CoRR (2022)
Erich Schubert, Lars Lenssen
Fast k-medoids Clustering in Rust and Python. J. Open Source Softw. 7 (75) (2022)
Franka Bause, Erich Schubert, Nils M. Kriege
EmbAssi: embedding assignment costs for similarity search in large graph databases. Data Min. Knowl. Discov. 36 (5) (2022)
Erich Schubert
Stop using the elbow criterion for k-means and how to choose the number of clusters instead. CoRR (2022)
Franka Bause, David B. Blumenthal, Erich Schubert, Nils M. Kriege
Metric Indexing for Graph Similarity Search. CoRR (2021)
Erik Thordsen, Erich Schubert
MESS: Manifold Embedding Motivated Super Sampling. SISAP (2021)
Erich Schubert, Andreas Lang, Gloria Feher
Accelerating Spherical k-Means. CoRR (2021)
Franka Bause, Erich Schubert, Nils M. Kriege
EmbAssi: Embedding Assignment Costs for Similarity Search in Large Graph Databases. CoRR (2021)
Erich Schubert
HACAM: Hierarchical Agglomerative Clustering Around Medoids - and its Limitations. LWDA (2021)
Erich Schubert, Peter J. Rousseeuw
Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms. Inf. Syst. 101 (2021)
Erik Thordsen, Erich Schubert
CANDLE: Classification And Noise Detection With Local Embedding Approximations. LWDA (2021)
Franka Bause, David B. Blumenthal, Erich Schubert, Nils M. Kriege
Metric Indexing for Graph Similarity Search. SISAP (2021)
Erich Schubert
A Triangle Inequality for Cosine Similarity. SISAP (2021)
Erik Thordsen, Erich Schubert
MESS: Manifold Embedding Motivated Super Sampling. CoRR (2021)
Erich Schubert, Andreas Lang, Gloria Feher
Accelerating Spherical k-Means. SISAP (2021)
Erich Schubert
A Triangle Inequality for Cosine Similarity. CoRR (2021)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data 8 (5) (2020)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data 8 (6) (2020)
Andreas Lang, Erich Schubert
BETULA: Numerically Stable CF-Trees for BIRCH Clustering. SISAP (2020)
Erik Thordsen, Erich Schubert
ABID: Angle Based Intrinsic Dimensionality. CoRR (2020)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data 8 (4) (2020)
Andreas Lang, Erich Schubert
BETULA: Numerically Stable CF-Trees for BIRCH Clustering. CoRR (2020)
Erik Thordsen, Erich Schubert
ABID: Angle Based Intrinsic Dimensionality. SISAP (2020)
Erich Schubert, Peter J. Rousseeuw
Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms. CoRR (2020)
Erich Schubert, Arthur Zimek
ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg". CoRR (2019)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019). EDML@SDM (2019)
Erich Schubert, Peter J. Rousseeuw
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. SISAP (2019)
Laurent Amsaleg, Michael E. Houle, Erich Schubert
Introduction to Special Issue of the 9th International Conference on Similarity Search and Applications (SISAP 2016). Inf. Syst. 80 (2019)
Michael E. Houle, Erich Schubert, Arthur Zimek
On the Correlation Between Local Intrinsic Dimensionality and Outlierness. SISAP (2018)
Erich Schubert, Michael Gertz
Numerically stable parallel computation of (co-)variance. SSDBM (2018)
Erich Schubert, Andreas Spitz, Michael Gertz
Exploring Significant Interactions in Live News. NewsIR@ECIR (2018)
Erich Schubert, Peter J. Rousseeuw
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. CoRR (2018)
Erich Schubert, Sibylle Hess, Katharina Morik
The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering. LWDA (2018)
Erich Schubert, Michael Gertz
Improving the Cluster Structure Extracted from OPTICS Plots. LWDA (2018)
Erich Schubert, Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN. ACM Trans. Database Syst. 42 (3) (2017)
Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
The (black) art of runtime evaluation: Are we comparing algorithms or implementations? Knowl. Inf. Syst. 52 (2) (2017)
Erich Schubert, Michael Gertz
Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection - A Remedy Against the Curse of Dimensionality? SISAP (2017)
Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kröger, Michael Nett, Erich Schubert, Arthur Zimek
Dimensional Testing for Reverse k-Nearest Neighbor Search. Proc. VLDB Endow. 10 (7) (2017)
Erich Schubert, Andreas Spitz, Michael Weiler, Johanna Geiß, Michael Gertz
Semantic Word Clouds with Background Corpus Normalization and t-distributed Stochastic Neighbor Embedding. CoRR (2017)
Evelyn Kirner, Erich Schubert, Arthur Zimek
Good and Bad Neighborhood Approximations for Outlier Detection Ensembles. SISAP (2017)
Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. 30 (4) (2016)
Erich Schubert, Michael Weiler, Hans-Peter Kriegel
SPOTHOT: Scalable Detection of Geo-spatial Events in Large Textual Streams. SSDBM (2016)
Erich Schubert, Michael Weiler, Arthur Zimek
Outlier Detection and Trend Detection: Two Sides of the Same Coin. ICDM Workshops (2015)
Erich Schubert, Alexander Koos, Tobias Emrich, Andreas Züfle, Klaus Arthur Schmid, Arthur Zimek
A Framework for Clustering Uncertain Data. Proc. VLDB Endow. 8 (12) (2015)
Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles. DASFAA (2) (2015)
Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection. Data Min. Knowl. Discov. 28 (1) (2014)
Xuan-Hong Dang, Ira Assent, Raymond T. Ng, Arthur Zimek, Erich Schubert
Discriminative features for identifying and interpreting outliers. ICDE (2014)
Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
Generalized Outlier Detection with Flexible Kernel Density Estimates. SDM (2014)
Erich Schubert, Michael Weiler, Hans-Peter Kriegel
SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds. KDD (2014)
Elke Achtert, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
Interactive data mining with 3D-parallel-coordinate-trees. SIGMOD Conference (2013)
Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
Geodetic Distance Queries on R-Trees for Indexing Geographic Data. SSTD (2013)
Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
Evaluation of Clusterings - Metrics and Visual Support. ICDE (2012)
Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
Outlier Detection in Arbitrarily Oriented Subspaces. ICDM (2012)
Arthur Zimek, Erich Schubert, Hans-Peter Kriegel
A survey on unsupervised outlier detection in high-dimensional numerical data. Stat. Anal. Data Min. 5 (5) (2012)
Erich Schubert, Remigius Wojdanowski, Arthur Zimek, Hans-Peter Kriegel
On Evaluation of Outlier Rankings and Outlier Scores. SDM (2012)
Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
Quality of Similarity Rankings in Time Series. SSTD (2011)
Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
Evaluation of Multiple Clustering Solutions. MultiClust@ECML/PKDD (2011)
Elke Achtert, Ahmed Hettab, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
Spatial Outlier Detection: Data, Algorithms, Visualizations. SSTD (2011)
Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
Interpreting and Unifying Outlier Scores. SDM (2011)
Elke Achtert, Hans-Peter Kriegel, Lisa Reichert, Erich Schubert, Remigius Wojdanowski, Arthur Zimek
Visual Evaluation of Outlier Detection Models. DASFAA (2) (2010)
Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? SSDBM (2010)
Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces. SSDBM (2010)
Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
Subspace similarity search using the ideas of ranking and top-k retrieval. ICDE Workshops (2010)
Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series. SSTD (2009)
Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
LoOP: local outlier probabilities. CIKM (2009)
Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. PAKDD (2009)
Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms. SSDBM (2008)
Erich Schubert, Sebastian Schaffert, François Bry
Structure-Preserving Difference Search for XML Documents. Extreme Markup Languages® (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Erich Schubert