A new set of cluster driven composite development indicators

@article{Verma2020ANS,
  title={A new set of cluster driven composite development indicators},
  author={Anshul Verma and Orazio Angelini and Tiziana di Matteo},
  journal={EPJ Data Science},
  year={2020},
  volume={9},
  pages={1-21}
}
Composite development indicators used in policy making often subjectively aggregate a restricted set of indicators. We show, using dimensionality reduction techniques, including Principal Component Analysis (PCA) and for the first time information filtering and hierarchical clustering, that these composite indicators miss key information on the relationship between different indicators. In particular, the grouping of indicators via topics is not reflected in the data at a global and local level… 
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