COMPARISON BETWEEN k{NN AND k{RNN CLASSIFICATION RULES : A MONTE CARLO SIMULATION STUDY

Authors

  • S. S. Bagui
  • S. C. Bagui
  • N. R. Pal
  • M. A. Matin

Keywords:

Classication, Discrimination, k{NN, k{RNN, Simulation, Error rates.

Abstract

In this paper we conduct a comparison between the k{NN and k{RNN classication
rules using an extensive monte carlo simulation study. We observe that the
k{RNN rule performs better than the k{NN rule both in small and large sample
cases.

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Issue

Vol. 41 No. 1 (2007)

Section

Articles