  The study of mortality patterns is a popular research topic in many areas. We
are particularly interested in mortality patterns among main causes of death
associated with age-gender combinations. We use symbolic data analysis (SDA)
and include three dimensions: age, gender, and patterns across main causes of
death. In this study, we present an alternative method to identify clusters of
EU countries with similar mortality patterns in the young population, while
considering comprehensive information on the distribution of deaths among the
main causes of death by different age-gender groups. We explore possible
relationships between mortality patterns in the identified clusters and some
other sociodemographic indicators. We use EU data of crude mortality rates from
2016, as the most recent complete data available.
