The k-nearest neighbors (k-NN) method is one of the oldest statistical/machine learning techniques. It is included in virtually every major package, such as caret, parsnip, mlr3 and scikit-learn. Yet those packages do not go beyond the basics. With today's high-speed computation capability, k-NN can be made much more powerful. Here, we present directions in which that can be done.

中文翻译：

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现代化 k 最近邻

该k-最近邻（K-NN）方法是最古老的统计/机器学习技术之一。它几乎包含在每个主要软件包中，例如caret、parsnip、mlr3和scikit-learn。然而，这些包并没有超越基础。凭借当今的高速计算能力，k-NN 可以变得更加强大。在这里，我们提出了可以做到的方向。