第10章降维与度量学习
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10.1 k近邻学习
Idea of KNN algorithm: For a given test sample, the algorithm identifies the k nearest training samples based on a distance metric and then uses these k nearest neighbors to predict the output. It is worth noting that in classification tasks, voting methods are commonly employed. Similarly, in regression problems, averaging techniques are typically used. Additionally, weighted voting or weighted averaging approaches can be employed to enhance prediction accuracy.
对于测试样本集X中的任一实例x来说，请问您是否知道其最近邻居样本是什么？如果不知道的话，请详细说明您的需求。
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