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Comparison between k-NN and k-RNN Classification Rules : A Monte Carlo Simulation Study

 

S.S. Bagui, S.C. Bagui, N.R. Pal, and M.A. Matin (2007). Comparison between k-NN and k-RNN Classification Rules : A Monte Carlo Simulation Study. Journal of Statistical Research, Vol. 41, No. 1, pp.  69-79.

 

Abstract

In this paper we conduct a comparison between the k-NN and k-RNN classification 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.

 

Download Fulltext (v41n1p69.pdf)

 

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