nearest neighbor classification meaning in Chinese

最近邻域分类
最邻近分类法

At the same time , this paper puts forward a validity function for judging clustering in order to lead us to use it in k - nearest neighbor classification ; then introduces " generalization capability of a case " to k - nearest neighbour . according to the proposed approach , the cases with better generalization capability are maintained as the representative cases while those redundant cases found in their coverage are removed . we can find a new less but almost complete training data set , consequently reduce complexity of seeking near neighbour
针对k值的学习，本文初步使用了遗传算法选择较优的k值，同时总结了一种聚类有效性函数，数值实验证实了其有效性，旨在指导应用于k -近邻分类中；然后还将“扩张能力”的概念引入k -近邻算法，根据训练集例子不同的覆盖能力，删除冗余样本，得到数量较小同时代表类别情况又比较完全的新的训练集，从而降低查找近邻复杂性。