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Observations are made relative to the definition and generation of a consistent training sample set. We show that the consistency assumption is crucial to the method described in the above correspondence,1 and that, in general, the proposed solution to the generation problem, namely k-NN editing, fails to produce consistent sets.
Pierre A. Devijver, "Comments on ``Nosing Around the Neighborhood: A New System Structure and Classification Rule for Recognition in Partially Exposed Environments''", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 3, no. , pp. 696-697, June 1981, doi:10.1109/TPAMI.1981.4767173
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