my current research consists of:
Financial Profile Misalignment: An Outcome-Independent Diagnostic of SMEs Vulnerability (Ariante, I., Cavicchia, C. and Sarnacchiaro, P.) - Under review
Distance-based Learning for Mixed Data: The manydist Package (Iodice D’Enza, A., van de Velden, M., Markos, A. and Cavicchia, C.)
Supervised Scale-Invariant Distance Metrics for Nearest-Neighbor Classification of Mixed-Type Data (Cavicchia, C., van de Velden, M., Iodice D’Enza, A. and Markos, A.)
Modeling Response Styles Across Respondents and Items in Ordinal Questionnaire Data (D’Ambrosio, A., van de Velden, M. and Cavicchia, C.)
Exact solutions for the Sparse Clustering Problem (Soer, M., Cavicchia, C., Kuryatnikova, O. and van den Heuvel, W.)
Convex Clustering of Mixed Numerical and Categorical Data (Brink, T. and Cavicchia, C.)
Sparse Classical Scaling via Strain Minimization (Groenen, P.J.F. and Cavicchia, C.)
Traversing Discontinuities: Approximating Best Subset Selection by Surrogate $\ell_p$-Continuation with Adaptive Step Size and ADMM (Czarnecki, L., Cavicchia, C., Kuryatnikova, O. and Groenen, P.J.F.)
Improved interpretation methods for joint multidimensional scaling and cluster analysis with external information (Cavicchia, C., van de Velden, M. and Vichi, M.)
Structural equation modeling with block covariance structure (Alfons, A. and Cavicchia, C.)
Model-based Parsimonious Hierarchical Clustering (Cavicchia, C., Chirita, A. and Scrucca, L.)
Higher-order Factor Analysis (Cavicchia, C. and Vichi, M.)