kNN算法(k临近算法)的核心思想是如果一个样本在特征空间中的k个最相邻的样本中的大多数属于某一个类别，则该样本也属于这个类别，并具有这个类别上样本的特性。-The core idea of kNN algorithm is that if a sample in the feature space of k-nearest neighbor samples Most belong to a category, then the sample also fall into this category, and the category having the sample characteristics.