FastNN
于 2012-05-14 发布
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代码说明：
简单快速近邻算法是一种典型的模式识别方法：在二维平面一矩形范围内随机产生训练样本，任意划分为三个区域，用快速近邻法确定待识别实验样本的所属分类。(Simple and fast nearest neighbor algorithm is a typical pattern recognition methods: randomly generated training samples in a rectangular range of two-dimensional plane, arbitrarily divided into three regions to determine the unknown experimental samples of Class fast nearest neighbor.)
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