A note on the Gamma test

@article{Stefnsson1997ANO,
  title={A note on the Gamma test},
  author={Adalbj{\"o}rn Stef{\'a}nsson and Nenad Koncar and Antonia J. Jones},
  journal={Neural Computing & Applications},
  year={1997},
  volume={5},
  pages={131-133}
}
This note describes a simple technique, the Gamma (or Near Neighbour) test, which in many cases can be used to considerably simplify the design process of constructing a smooth data model such as a neural network. The Gamma test is a data analysis routine, that (in an optimal implementation) runs in time O(MlogM)as M→∞,where Mis the number of sample data points, and which aims to estimate the best Mean Squared Error (MSError) that can be achieved by any continuous or smooth (bounded first… CONTINUE READING
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