k nn classification k近邻分类
This paper analysis three different kinds of improved algorithms based onthe K-NN classification:(1) Editing technique, (2) Boundary extraction, (3) Boundarypatching.
本文研究三种在近邻分类法基础上的改进算法：（1）编辑技术，（2）边界抽取，（3）边界补缀。
By revising a K-NN classification method based on evidence theory, a new K-NN classification method based on evidence reasoning model is got, which made the classification result more accurate.
本文对基于证据理论的k - NN分类方法进行了修正，得到了基于证据推理模型的k - NN分类方法，使分类结果更加精确。
The 1-Nearest-Neighbor Rule (1-NN) is the simplest and most natural classification rule.
最邻近法则（1-NN）是最简单和最为自然的分类法则。
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