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# 4.3:k-近邻算法流程
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`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：
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- 1.计算出新样本与每一个样本的距离
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- 2.找出距离最近的`k`个样本
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- 3.根据加权投票规则得到新样本的类别 |
