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.
Alfonso Iodice D’Enza, Michel Van de Velden & Francesco Palumbo (2014) - On joint dimension reduction and clustering of categorical data - In Akinori Okada, Claus Weihs, Donatella Vicari & Giancarlo Ragozini, Analysis and Modeling of Complex Data in Behavioral and Social Sciences (pp. 161-169) - doi: 10.1007/978-3-319-06692-9_18 - [link] - NEI & Kluwer Academic Publishers - Joint international meeting on Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society, JCS-CLADAG 2012