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1)  Local N-nearest neighbor rule
局部N近邻规则
2)  locally nearest neighbor rule
局部最近邻准则
3)  nearest neighboring rule
最邻近规则
4)  NN rule
最近邻规则
1.
Considering the significance of train sets for the performance of neural networks,the proposed method combined simplicity of nearest neighbor(NN)with high accuracy of neural networks and utilized the modified NN rule to select the most representative samples as a .
针对这一问题,本文将最近邻法(Nearest neighbor,NN)简单快捷和神经网络高精度的特点相结合,提出了一种基于最近邻规则的神经网络训练样本选择方法。
5)  K nearest neighbor rule
K近邻规则
1.
A spam detection method is proposed based on the LZ complexity similarity of symbolic sequences and K nearest neighbor rule.
同时,K近邻规则的延迟学习特性适合于垃圾邮件样本需要动态调整的应用环境。
6)  K-nearest neighbor rule
K-近邻规则
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