This volume presents theoretical developments applications and computational methods for the
analysis and modeling in behavioral and social sciences where data are usually complex to
explore and investigate. The challenging proposals provide a connection between statistical
methodology and the social domain with particular attention to computational issues in order to
effectively address complicated data analysis problems. The papers in this volume stem from
contributions initially presented at the joint international meeting JCS-CLADAG held in
Anacapri (Italy) where the Japanese Classification Society and the Classification and Data
Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and
exchange.