kNN的思想:计算待分类的数据点与训练集所有样本点，取距离最近的k个样本；统计这k个样本的类别数量；根据多数表决方案，取数量最多的那一类作为待测样本的类别。距离度量可采用Euclidean distance，Manhattan distance和cosine。-kNN The idea is simple: the training set and calculated data points to be classified all sample points taken the neare