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Erich Schubert

From EverybodyWiki Bios & Wiki


Erich Schubert
Born
🏳️ NationalityGerman
🎓 Alma materLudwig-Maximilians-Universität München
💼 Occupation

Erich Schubert is professor of data mining in artificial intelligence at the Technical University of Dortmund in Germany. He graduated from the Ludwig Maximilian University of Munich in Munich, Germany, where he worked with Prof. Dr. Hans-Peter Kriegel.

He is known for his contributions to anomaly detection for his work on local outlier detection,.[1][2] outliers in high-dimensional data,[3] and outlier detection ensembles,[4][5] and in cluster analysis for contributions to density-based clustering (such as the understanding of DBSCAN[6] and OPTICS algorithm[7]) as well as k-medoids clustering,[8], silhouette clustering,[9] and his critique of the elbow method[10] for choosing the number of clusters in k-means clustering.

He contributed to open-source project such as Debian,[11] the ELKI data mining framework, the kmedoids Python package[12] and kmedoids Rust crate[13]

References

  1. Kriegel, H.-P.; Kröger, P.; Schubert, E.; Zimek, A. (2009). "LoOP: Local outlier probabilities". Proceedings of the 18th ACM conference on Information and knowledge management (PDF). CIKM '09. pp. 1649–1652. doi:10.1145/1645953.1646195. ISBN 978-1-60558-512-3. Archived from the original (PDF) on 2023-07-25. Retrieved 2025-10-01. Unknown parameter |url-status= ignored (help) Search this book on
  2. Schubert, E.; Zimek, A.; Kriegel, H. -P. (2012). "Local outlier detection reconsidered: A generalized view on locality with applications to spatial, video, and network outlier detection". Data Mining and Knowledge Discovery. 28: 190–237. doi:10.1007/s10618-012-0300-z. Unknown parameter |s2cid= ignored (help)
  3. Zimek, A.; Schubert, E.; Kriegel, H.-P. (2012). "A survey on unsupervised outlier detection in high-dimensional numerical data". Statistical Analysis and Data Mining. 5 (5): 363–387. doi:10.1002/sam.11161. Unknown parameter |s2cid= ignored (help)
  4. Kriegel, H. P.; Kröger, P.; Schubert, E.; Zimek, A. (2011). Interpreting and Unifying Outlier Scores. Proceedings of the 2011 SIAM International Conference on Data Mining. pp. 13–24. CiteSeerX 10.1.1.232.2719. doi:10.1137/1.9781611972818.2. ISBN 978-0-89871-992-5.
  5. Schubert, E.; Wojdanowski, R.; Zimek, A.; Kriegel, H. P. (2012). On Evaluation of Outlier Rankings and Outlier Scores. Proceedings of the 2012 SIAM International Conference on Data Mining. pp. 1047–1058. doi:10.1137/1.9781611972825.90. ISBN 978-1-61197-232-0.
  6. Schubert, Erich; Sander, Jörg; Ester, Martin; Kriegel, Hans Peter; Xu, Xiaowei (July 2017). "DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN". ACM Transactions on Database Systems. 42 (3): 19:1–19:21. Bibcode:2017ATODS..42....1S. doi:10.1145/3068335. ISSN 0362-5915. Unknown parameter |s2cid= ignored (help)
  7. Schubert, Erich; Gertz, Michael (2018-08-22). Improving the Cluster Structure Extracted from OPTICS Plots (PDF). Lernen, Wissen, Daten, Analysen (LWDA 2018). CEUR-WS 2191. pp. 318–329 – via CEUR-WS.
  8. Schubert, Erich; Rousseeuw, Peter J. (2021). "Fast and eager k -medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms". Information Systems. 101. arXiv:2008.05171. doi:10.1016/j.is.2021.101804. Unknown parameter |s2cid= ignored (help); Unknown parameter |article-number= ignored (help)
  9. Lenssen, Lars; Schubert, Erich (2022). Clustering by Direct Optimization of the Medoid Silhouette. International Conference on Similarity Search and Applications. pp. 190–204. arXiv:2209.12553. doi:10.1007/978-3-031-17849-8_15. Retrieved 2022-10-20.
  10. Schubert, Erich (2023-07-05). "Stop using the elbow criterion for k-means and how to choose the number of clusters instead". ACM SIGKDD Explorations Newsletter. 25 (1): 36–42. arXiv:2212.12189. doi:10.1145/3606274.3606278. ISSN 1931-0145.
  11. "Debian Contributors".
  12. https://pypi.org/project/kmedoids/
  13. https://crates.io/crates/kmedoids

External links


Category:Data miners Category:Machine learning researchers Category:German computer scientists Category:Living people Category:Ludwig Maximilian University of Munich alumni Category:Academic staff of the Technical University of Dortmund Category:Year of birth missing (living people)


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