Biography
Michel van de Velden is an associate Professor of Statistics at the Econometric Institute of the Erasmus University Rotterdam. His main research interests are exploratory data analysis. In particular, dimension reduction and cluster analysis methods with a strong focus on data visualization. In addition, he is in involved in several supervised machine learning projects involving tree-based machine learning methods.
More information
Work
- Sabine Knapp, Michel van de Velden & Philip Hans Franses (2026) - Pollution risk exposure assessment for Portugal and the Baltic Sea with an emphasis on shadow fleets - Marine Pollution Bulletin, 225 - doi: 10.1016/j.marpolbul.2025.119210 - [link]
- Kohei Adachi & Michel van de Velden (2026) - Advances in multivariate data analysis: part 2 - Behaviormetrika, 53 (1), 237-238 - doi: 10.1007/s41237-026-00291-y - [link]
- Xiaogang Huang, Jun Jin, Dan Zhuang, Tiefeng Ma, Michel van de Velden & Shuangzhe Liu (2026) - A saddle point-guided clustering algorithm for data with complex structure - Knowledge-Based Systems, 331 - doi: 10.1016/j.knosys.2025.114726 - [link]
- Daniel J.W. Touw & Michel Van de Velden (2025) - Classifier chain networks for multi-label classification - Expert Systems with Applications, 286 - doi: 10.1016/j.eswa.2025.128048 - [link]
- Kohei Adachi & Michel van de Velden (2025) - Advances in multivariate data analysis - Behaviormetrika, 52 (2), 413-415 - doi: 10.1007/s41237-025-00268-3 - [link]
- Michel van de Velden, A Iodice D'Enza & F Palumbo (2025) - cluster correspondence analysis - Psychometrika, 82 (1), 158-185 - doi: 10.1007/s11336-016-9514-0 - [link]
- Rick Willemsen, Carlo Cavicchia, Wilco van den Heuvel & Michel van de Velden (2025) - An Exact Solution Approach for Hierarchical Clustering - [link]
- Rick Willemsen, Carlo Cavicchia, Wilco van den Heuvel & Michel van de Velden (2025) - An Exact Solution Approach for Hierarchical Clustering - INFORMS Journal on Computing - doi: 10.1287/ijoc.2024.0903
- Alfonso Iodice D’Enza, Angelos Markos, Michel van de Velden & Carlo Cavicchia (2025) - manydist: Unbiased Distances for Mixed-Type Data - [link]
- Michel van de Velden, Alfonso Iodice D’Enza, Angelos Markos & Carlo Cavicchia (2024) - Unbiased mixed variables distance - [link]
EQI
- Start date approval
- July 2025
- End date approval
- July 2028
- Place
- ROTTERDAM
Applied Statistics 1
- Year
- 2025
- Course Code
- FEB11005
Applied Statistics 1
- Year
- 2025
- Course Code
- FEB11005X
Seminar Data Science for Marketing Analy
- Year
- 2025
- Course Code
- FEM11152
