The weighted nearest neighbor rule for class dependent sample sizes (Corresp.)
T. Brown, Jack Koplowitz · IEEE Transactions on Information Theory · 1979
The nearest neighbor rule is considered for data samples obtained by selectingN_{i}independent samples with the conditional distribution corresponding to classC_{i}. It is shown that a weighted distance rule can The nearest neighbor nde is considered for data samples obtained by selectingN_{i}independent samples with the conditional distribution corresponding to classC_{i}. It is shown that a weighted distance rule can improve the performance when the ratio ofN_{i}to the total sample size differs substantially from the{\sl a priori}probability of classC_{i}.