最近邻方法是最简单，最有效的方法，在样本集较小的情况下是研究人员进行分

The nearest neighbor method is the simplest and most effective method. It is one of the main choices for researchers to conduct classification research when the sample set is small. In machine learning, KNN is mainly used for regression analysis and modeling. In the process of classification modeling, the training sample is the KNN method, and the sample classification output is the KNN method.

The nearest neighborhood method is the simplest and most effective method, and is one of the main choices for researchers to classify the study in the case of a smaller sample set. In machine learning, KNN is mainly used in regression analysis and modeling. In the process of classification modeling, the training sample is the KNN method, and the sample classification output is the KNN method.

The nearest neighbor method is the simplest and most effective method. It is one of the main choices for researchers to do classification research when the sample set is small. In machine learning, KNN is mainly used in regression analysis and modeling. In the process of classification modeling, the training sample is KNN method, and the output of sample classification is KNN method.