Through the lens of principal components, spatial dependence, and regionalization methods, the municipalities of Bolivia are endogenously classified according to their similarity in human capital constraints and geographical location.
In this study, we test the degree of divergence in sustainable development by integrating a new hierarchical clustering algorithm from the unsupervised machine learning literature.