Project performed within the scope of the course "Multivariate Analysis" at EAFIT University. The project consists of utilising different configurations of the DD-Classifier for clustering a population based on their risk to suffer a heart failure.
DD-classifiers are non-parametrical classifiers based on the concept of statistical depth and DD-plots. Different measures of depth (Mahalanobis, Tukey, Likelihood) were used and compared.
The tools and theory employed in the project are based on the work of J. Li, J. Cuesta-Albertos and R. Liu.
The data has been obtained from this kaggle.