Empirical Data Analytics

@article{Angelov2017EmpiricalDA,
  title={Empirical Data Analytics},
  author={Plamen P. Angelov and Xiaowei Gu and Dmitry Kangin},
  journal={Int. J. Intell. Syst.},
  year={2017},
  volume={32},
  pages={1261-1284}
}
In this paper, we propose an approach to data analysis which is based entirely on the empirical observations of discrete data samples and the relative proximity of these points in the data space. At the core of the proposed new approach is the typicality an empirically derived quantity which resembles probability. This nonparametric measure is a normalised form of the square centrality (centrality is a measure of closeness used in graph theory). It is also closely linked to the cumulative… CONTINUE READING
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