k-nn算法　K-NN算法 ( K Nearest Neighbor, K近邻算法 ), 是机器学习中的一个经典算法, 比较简单且容易理解. K-NN算法通过计算新数据与训练数据特征值之间的距离, 然后选取 K (K>=1) 个距离最近的邻居进行分类或者回归. 如果K = 1 , 那么新数据将被分配给其近邻的类.(k-nnK - NN algorithm (K on his Neighbor, K Nearest Neighbor algorithm), is a classical algorithm of machine learning, more simple and easy to understand. K - NN algorithm by calculating the new data and the distance between the training data characteristic value, and then select K (K > = 1) from the Nearest Neighbor classification or regression. If K = 1, then the new data will be class assigned to its neighbours.)