Erich Schubert

104 papers A* 5A 4B 33Journal 41Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the evaluation and optimization of LabeledPAM. Inf. Syst. Miriama Jánosová, Andreas Lang, Petra Budíková, Erich Schubert, Vlastislav Dohnal
2025	J	`jnl`	A comparative evaluation of clustering-based outlier detection. Data Min. Knowl. Discov. Braulio Valentin Sanchez Vinces, Erich Schubert, Arthur Zimek, Robson L. F. Cordeiro
2025	J	`jnl`	An Alternating Optimization Scheme for Binary Sketches. Inf. Syst. Erik Thordsen, Erich Schubert
2025	B	`conf`	Approximate Single-Linkage Clustering Using Graph-Based Indexes: MST-Based Approaches and Incremental Searchers. SISAP Camilla Birch Okkels, Erik Thordsen, Martin Aumüller, Arthur Zimek, Erich Schubert
2025	—	`conf`	Archetype Discovery from Taxonomies: A Method to Cluster Small Datasets of Categorical Data. HICSS Lars Lenssen, Philip Stahmann, Christian Janiesch, Erich Schubert
2025	B	`conf`	Hierarchical Density-Based Clustering Using Incremental Similarity Search. SISAP Erich Schubert
2025	B	`conf`	Theoretical and Practical Insights Into Graph-Based Indexing. SISAP Erik Thordsen, Erich Schubert
2024	J	`jnl`	Accelerating k-Means Clustering with Cover Trees. CoRR Andreas Lang, Erich Schubert
2024	B	`conf`	Advancing the PAM Algorithm to Semi-supervised k-Medoids Clustering. SISAP Miriama Jánosová, Andreas Lang, Petra Budíková, Erich Schubert, Vlastislav Dohnal
2024	J	`jnl`	Explicit Formulae to Interchangeably use Hyperplanes and Hyperballs using Inversive Geometry. CoRR Erik Thordsen, Erich Schubert
2024	B	`conf`	Grouping Sketches to Index High-Dimensional Data in a Resource-Limited Setting. SISAP Erik Thordsen, Erich Schubert
2024	B	`conf`	Hierarchical Clustering Without Pairwise Distances by Incremental Similarity Search. SISAP Erich Schubert
2024	J	`jnl`	Medoid Silhouette clustering with automatic cluster number selection. Inf. Syst. Lars Lenssen, Erich Schubert
2023	B	`conf`	Accelerating k-Means Clustering with Cover Trees. SISAP Andreas Lang, Erich Schubert
2023	B	`conf`	An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search. SISAP Erik Thordsen, Erich Schubert
2023	J	`jnl`	Data Aggregation for Hierarchical Clustering. CoRR Erich Schubert, Andreas Lang
2023	—	`conf`	Fast k-Nearest-Neighbor-Consistent Clustering. LWDA Lars Lenssen, Niklas Strahmann, Erich Schubert
2023	J	`jnl`	Medoid Silhouette clustering with automatic cluster number selection. CoRR Lars Lenssen, Erich Schubert
2023	J	`jnl`	Sparse Partitioning Around Medoids. CoRR Lars Lenssen, Erich Schubert
2023	J	`jnl`	Stop using the elbow criterion for k-means and how to choose the number of clusters instead. SIGKDD Explor. Erich Schubert
2023	A*	`conf`	Who Did What When? Discovering Complex Historical Interrelations in Immersive Virtual Reality. ISMAR 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
2022	J	`jnl`	ABID: Angle Based Intrinsic Dimensionality - Theory and analysis. Inf. Syst. Erik Thordsen, Erich Schubert
2022	B	`conf`	Automatic Indexing for Similarity Search in ELKI. SISAP Erich Schubert
2022	J	`jnl`	BETULA: Fast clustering of large data with improved BIRCH CF-Trees. Inf. Syst. Andreas Lang, Erich Schubert
2022	B	`conf`	Clustering by Direct Optimization of the Medoid Silhouette. SISAP Lars Lenssen, Erich Schubert
2022	J	`jnl`	Clustering by Direct Optimization of the Medoid Silhouette. CoRR Lars Lenssen, Erich Schubert
2022	—	`ch.`	Data Aggregation for Hierarchical Clustering. Mach. Learn. under Resour. Constraints Vol. 1 (1) Erich Schubert, Andreas Lang
2022	J	`jnl`	EmbAssi: embedding assignment costs for similarity search in large graph databases. Data Min. Knowl. Discov. Franka Bause, Erich Schubert, Nils M. Kriege
2022	J	`jnl`	Fast k-medoids Clustering in Rust and Python. J. Open Source Softw. Erich Schubert, Lars Lenssen
2022	J	`jnl`	LOSDD: Leave-Out Support Vector Data Description for Outlier Detection. CoRR Daniel Boiar, Thomas Liebig, Erich Schubert
2022	B	`conf`	On Projections to Linear Subspaces. SISAP Erik Thordsen, Erich Schubert
2022	J	`jnl`	On Projections to Linear Subspaces. CoRR Erik Thordsen, Erich Schubert
2022	—	`ch.`	Sparse Partitioning Around Medoids. Mach. Learn. under Resour. Constraints Vol. 1 (1) Lars Lenssen, Erich Schubert
2022	J	`jnl`	Stop using the elbow criterion for k-means and how to choose the number of clusters instead. CoRR Erich Schubert
2021	B	`conf`	A Triangle Inequality for Cosine Similarity. SISAP Erich Schubert
2021	J	`jnl`	A Triangle Inequality for Cosine Similarity. CoRR Erich Schubert
2021	B	`conf`	Accelerating Spherical k-Means. SISAP Erich Schubert, Andreas Lang, Gloria Feher
2021	J	`jnl`	Accelerating Spherical k-Means. CoRR Erich Schubert, Andreas Lang, Gloria Feher
2021	—	`conf`	CANDLE: Classification And Noise Detection With Local Embedding Approximations. LWDA Erik Thordsen, Erich Schubert
2021	J	`jnl`	EmbAssi: Embedding Assignment Costs for Similarity Search in Large Graph Databases. CoRR Franka Bause, Erich Schubert, Nils M. Kriege
2021	J	`jnl`	Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms. Inf. Syst. Erich Schubert, Peter J. Rousseeuw
2021	—	`conf`	HACAM: Hierarchical Agglomerative Clustering Around Medoids - and its Limitations. LWDA Erich Schubert
2021	B	`conf`	MESS: Manifold Embedding Motivated Super Sampling. SISAP Erik Thordsen, Erich Schubert
2021	J	`jnl`	MESS: Manifold Embedding Motivated Super Sampling. CoRR Erik Thordsen, Erich Schubert
2021	B	`conf`	Metric Indexing for Graph Similarity Search. SISAP Franka Bause, David B. Blumenthal, Erich Schubert, Nils M. Kriege
2021	J	`jnl`	Metric Indexing for Graph Similarity Search. CoRR Franka Bause, David B. Blumenthal, Erich Schubert, Nils M. Kriege
2021	B	`ed.`	Similarity Search and Applications - 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings SISAP Nora Reyes, Richard Connor, Nils M. Kriege, Daniyal Kazempour, Ilaria Bartolini, Erich Schubert, Jian-Jia Chen
2020	B	`conf`	ABID: Angle Based Intrinsic Dimensionality. SISAP Erik Thordsen, Erich Schubert
2020	J	`jnl`	ABID: Angle Based Intrinsic Dimensionality. CoRR Erik Thordsen, Erich Schubert
2020	B	`conf`	BETULA: Numerically Stable CF-Trees for BIRCH Clustering. SISAP Andreas Lang, Erich Schubert
2020	J	`jnl`	BETULA: Numerically Stable CF-Trees for BIRCH Clustering. CoRR Andreas Lang, Erich Schubert
2020	J	`jnl`	Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020	J	`jnl`	Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020	J	`jnl`	Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020	—	`ed.`	ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings PKDD/ECML Workshops Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020	J	`jnl`	Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms. CoRR Erich Schubert, Peter J. Rousseeuw
2019	—	`conf`	1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019). EDML@SDM Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2019	J	`jnl`	ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg". CoRR Erich Schubert, Arthur Zimek
2019	B	`conf`	Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. SISAP Erich Schubert, Peter J. Rousseeuw
2019	J	`jnl`	Introduction to Special Issue of the 9th International Conference on Similarity Search and Applications (SISAP 2016). Inf. Syst. Laurent Amsaleg, Michael E. Houle, Erich Schubert
2019	—	`ed.`	Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), Calgary, Alberta, Canada, May 4th, 2019. EDML@SDM Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2018	—	`conf`	Exploring Significant Interactions in Live News. NewsIR@ECIR Erich Schubert, Andreas Spitz, Michael Gertz
2018	J	`jnl`	Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms. CoRR Erich Schubert, Peter J. Rousseeuw
2018	—	`conf`	Improving the Cluster Structure Extracted from OPTICS Plots. LWDA Erich Schubert, Michael Gertz
2018	B	`conf`	Numerically stable parallel computation of (co-)variance. SSDBM Erich Schubert, Michael Gertz
2018	B	`conf`	On the Correlation Between Local Intrinsic Dimensionality and Outlierness. SISAP Michael E. Houle, Erich Schubert, Arthur Zimek
2018	—	`ch.`	Outlier Detection. Encyclopedia of Database Systems (2nd ed.) Arthur Zimek, Erich Schubert
2018	—	`conf`	The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering. LWDA Erich Schubert, Sibylle Hess, Katharina Morik
2017	J	`jnl`	DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN. ACM Trans. Database Syst. Erich Schubert, Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
2017	J	`jnl`	Dimensional Testing for Reverse k-Nearest Neighbor Search. Proc. VLDB Endow. Guillaume Casanova, Elias Englmeier, Michael E. Houle, Peer Kröger, Michael Nett, Erich Schubert, Arthur Zimek
2017	B	`conf`	Good and Bad Neighborhood Approximations for Outlier Detection Ensembles. SISAP Evelyn Kirner, Erich Schubert, Arthur Zimek
2017	B	`conf`	Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection - A Remedy Against the Curse of Dimensionality? SISAP Erich Schubert, Michael Gertz
2017	J	`jnl`	Semantic Word Clouds with Background Corpus Normalization and t-distributed Stochastic Neighbor Embedding. CoRR Erich Schubert, Andreas Spitz, Michael Weiler, Johanna Geiß, Michael Gertz
2017	J	`jnl`	The (black) art of runtime evaluation: Are we comparing algorithms or implementations? Knowl. Inf. Syst. Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2016	J	`jnl`	On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min. Knowl. Discov. Guilherme Oliveira Campos, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello, Barbora Micenková, Erich Schubert, Ira Assent, Michael E. Houle
2016	B	`conf`	SPOTHOT: Scalable Detection of Geo-spatial Events in Large Textual Streams. SSDBM Erich Schubert, Michael Weiler, Hans-Peter Kriegel
2016	B	`ed.`	Similarity Search and Applications - 9th International Conference, SISAP 2016, Tokyo, Japan, October 24-26, 2016. Proceedings SISAP Laurent Amsaleg, Michael E. Houle, Erich Schubert
2015	J	`jnl`	A Framework for Clustering Uncertain Data. Proc. VLDB Endow. Erich Schubert, Alexander Koos, Tobias Emrich, Andreas Züfle, Klaus Arthur Schmid, Arthur Zimek
2015	—	`conf`	Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles. DASFAA (2) Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
2015	—	`conf`	Outlier Detection and Trend Detection: Two Sides of the Same Coin. ICDM Workshops Erich Schubert, Michael Weiler, Arthur Zimek
2014	A*	`conf`	Discriminative features for identifying and interpreting outliers. ICDE Xuan-Hong Dang, Ira Assent, Raymond T. Ng, Arthur Zimek, Erich Schubert
2014	A	`conf`	Generalized Outlier Detection with Flexible Kernel Density Estimates. SDM Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
2014	J	`jnl`	Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection. Data Min. Knowl. Discov. Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
2014	A*	`conf`	SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds. KDD Erich Schubert, Michael Weiler, Hans-Peter Kriegel
2013	—	`—`	Generalized and efficient outlier detection for spatial, temporal, and high-dimensional data mining. Erich Schubert
2013	B	`conf`	Geodetic Distance Queries on R-Trees for Indexing Geographic Data. SSTD Erich Schubert, Arthur Zimek, Hans-Peter Kriegel
2013	—	`conf`	Interactive data mining with 3D-parallel-coordinate-trees. SIGMOD Conference Elke Achtert, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2012	J	`jnl`	A survey on unsupervised outlier detection in high-dimensional numerical data. Stat. Anal. Data Min. Arthur Zimek, Erich Schubert, Hans-Peter Kriegel
2012	A*	`conf`	Evaluation of Clusterings - Metrics and Visual Support. ICDE Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2012	A	`conf`	On Evaluation of Outlier Rankings and Outlier Scores. SDM Erich Schubert, Remigius Wojdanowski, Arthur Zimek, Hans-Peter Kriegel
2012	A*	`conf`	Outlier Detection in Arbitrarily Oriented Subspaces. ICDM Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2011	—	`conf`	Evaluation of Multiple Clustering Solutions. MultiClust@ECML/PKDD Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2011	A	`conf`	Interpreting and Unifying Outlier Scores. SDM Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2011	B	`conf`	Quality of Similarity Rankings in Time Series. SSTD Thomas Bernecker, Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
2011	B	`conf`	Spatial Outlier Detection: Data, Algorithms, Visualizations. SSTD Elke Achtert, Ahmed Hettab, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2010	B	`conf`	Can Shared-Neighbor Distances Defeat the Curse of Dimensionality? SSDBM Michael E. Houle, Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2010	B	`conf`	Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces. SSDBM Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
2010	—	`conf`	Subspace similarity search using the ideas of ranking and top-k retrieval. ICDE Workshops Thomas Bernecker, Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Erich Schubert, Arthur Zimek
2010	—	`conf`	Visual Evaluation of Outlier Detection Models. DASFAA (2) Elke Achtert, Hans-Peter Kriegel, Lisa Reichert, Erich Schubert, Remigius Wojdanowski, Arthur Zimek
2009	B	`conf`	ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series. SSTD Elke Achtert, Thomas Bernecker, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek
2009	A	`conf`	LoOP: local outlier probabilities. CIKM Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2009	B	`conf`	Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data. PAKDD Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2008	B	`conf`	A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms. SSDBM Hans-Peter Kriegel, Peer Kröger, Erich Schubert, Arthur Zimek
2005	—	`conf`	Structure-Preserving Difference Search for XML Documents. Extreme Markup Languages® Erich Schubert, Sebastian Schaffert, François Bry