my current research consists of:
Unbiased mixed-variable distance (van de Velden, M., Iodice D’Enza, A., Markos, A. and Cavicchia, C.) - Under review - arXiv - SSRN
Convex Clustering of Mixed Numerical and Categorical Data (Brink, T. and Cavicchia, C.)
Sparse Scaling (Groenen, P.J.F. and Cavicchia, C.)
Exact solutions for the Sparse Clustering Problem (Soer, M., Cavicchia, C., Kuryatnikova, O. and van den Heuvel, W.)
A Supervised Distance Metric for K-Nearest Neighbors with Mixed-Type Data (van de Velden, M., Iodice D’Enza, A., Markos, A. and Cavicchia, C.)
Co-Clustering Respondents and Items to Model Blockwise Response Styles (D’Ambrosio, A., van de Velden, M., Cavicchia, C. and D’Ambrosio, A.)
Detecting Configurational Financial Misalignment: Interpretable Machine Learning and the Early Diagnosis of SME Default Risk (Ariante, I., Cavicchia, C. and Sarnacchiaro, P.)
Structural equation modeling with block covariance structure (Alfons, 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.)
Higher-order Factor Analysis (Cavicchia, C. and Vichi, M.)
Model-based Parsimonious Hierarchical Clustering (Cavicchia, C., and Scrucca, L.)