Pareto Density Estimation : A Density Estimation for Knowledge Discovery

@inproceedings{Ultsch2003ParetoDE,
  title={Pareto Density Estimation : A Density Estimation for Knowledge Discovery},
  author={Alfred Ultsch},
  year={2003}
}
Pareto Density Estimation (PDE) as defined in this work is a method for the estimation of probability density functions using hyperspheres. The radius of the hyperspheres is derived from optimizing information while minimizing set size. It is shown, that PDE is a very good estimate for data containing clusters of Gaussian structure. The behavior of the… CONTINUE READING