Model based clustering using multivariate mixed type panel data

Abstract

A model based clustering approach is proposed to classify units based on multivariate panel or longitudinal data of a mixed type. The methodology is used to analyze data from The European Union Statistics on Income and Living Conditions database (EU-SILC).

Keywords

• Longitudinal data
• Classification
• EU-SILC