SummaryFor this project, we will employ the soft clustering approach to enable intricate, nuanced interpretations using the Archetype R package. Initially, we will determine the optimal number of archetypes to best represent the underlying data structure. Then, clinical variables will be assigned to clusters to identify any patterns regarding the disease and its subtypes.

Keywords Archetypes Type-2-diabetes metabolic-syndrome soft-clustering subtyping

InstitutionsHelmholtz Munich