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4.3 k-近邻算法流程

knn算法不需要训练模型,只是根据离样本最近的几个样本类型来判别该样本类型,所以流程非常简单:

  • 1.计算出新样本与每一个样本的距离
  • 2.找出距离最近的k个样本
  • 3.根据加权投票规则得到新样本的类别