November 1, 1975

An algorithm for a selective nearest neighbor decision rule (Corresp.)

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Resumen

A procedure is introduced to approximate nearest neighbor (INN) decision boundaries. The algorithm produces a selective subset of the original data so that 1) the subset is consistent, 2) the distance between any sample and its nearest selective neighbor is less than the distance from the sample to any sample of the other class, and 3) the subset is the smallest possible.

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Cite This Study

Ritter et al. (Sat,) studied this question.

synapsesocial.com/papers/6a1bcf814cc49ccc94a8eeac https://doi.org/https://doi.org/10.1109/tit.1975.1055464

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1The reduced nearest neighbor rule (Corresp.)1972 · 566 citations
2Convergence of the edited nearest neighbor (Corresp.)1973 · 19 citations
3The condensed nearest neighbor rule (Corresp.)1968 · 1,729 citations
4Discriminatory analysis: Nonparametric discrimination: Consistency properties1951 · 1,703 citations
5A Nonparametric Estimate of a Multivariate Density Function1965 · 779 citations

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