my current research consists of:
Globally optimal hierarchical clustering through linear programming (Willemsen, R., Cavicchia, C., van den Heuvel, W. and van de Velden, M.)
Convex Clustering of Mixed Numerical and Categorical Data (Brink, T. and Cavicchia, C.)
Sparse Scaling (Groenen, P.J.F. and Cavicchia, C.)
A new distance function that combines numerical and categorical variables (van de Velden, M., Iodice D’Enza, A., Markos, A. and Cavicchia, C.)
KNN for mixed data (van de Velden, M., Iodice D’Enza, A., Markos, A. and Cavicchia, C.)
Clustering combining two sources of information: dissimilarities and features on the same observations (Cavicchia, C., van de Velden, M. and Vichi, M.)
Ultrametric Factor Analysis (Bottazzi Schenone, M., Cavicchia, C., Vichi, M. and Zaccaria, G.)
Higher-order Factor Analysis (Cavicchia, C. and Vichi, M.)
Model-based Parsimonious Hierarchical Clustering (Cavicchia, C., and Scrucca, L.)