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.
I-A Kim, M-A Kim, Michel Velden & H-S Lee (2013) - Psychological positioning of bottled tea products: A comparison between two Kansei profiling techniques - Food Science and Biotechnology, 22 (1), 257-268 - doi: 10.1007/s10068-013-0035-7