ongoing projects

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.)

TAGS: PAPERS, PROJECTS
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