K-Nearest Neighbour is a typical classification method.
邻近分类算法是个典型的分类算法。
The k-nearest neighbour classification is a very popular and successful nonparametric classification method, but its classification performance usually suffers from the existing outliers.
近邻分类是一种流行且成功的非参数分类方法，但其分类性能由于离群点的存在而受到损害。
Because DAW accelerating structure has a large coupling coefficient and the next nearest neighbour coupling can't be ignored, a special tuning method was developed.
针对该结构的强腔间耦合以及次临近耦合不能忽略的特点，对其调谐方法进行了分析研究。
Because DAW accelerating structure has a large coupling coefficient and the next nearest neighbour coupling can't be ignored, a special tuning method was developed.
针对该结构的强腔间耦合以及次临近耦合不能忽略的特点，对其调谐方法进行了分析研究。
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