Performs k-nearest neighbor classification of a test set using a training set. For each row of the test set, the k nearest training set vectors (according to Minkowski distance) are found, and the classification is done via the maximum of summed kernel densities. In addition even ordinal and continuous variables can be predicted.

Weighted k-Nearest Neighbors for Classification, Regression and Clustering. Please use the canonical form https://CRAN.R-project.org/package=kknn to link to this page.

Performs k-nearest neighbor classification of a test set using a training set. For each row of the test set, the k nearest training set vectors (according to Minkowski distance) are found, and the classification is done via the maximum of summed kernel densities.

2019年8月25日 · For objects returned by kknn, predict gives the predicted value or the predicted probabilities of R1 for the single row contained in validation.data: The predict command also works on objects returned by train.knn. kernel = "rectangular", scale = TRUE)

2019年5月2日 · Performs k-nearest neighbor classification of a test set using a training set. For each row of the test set, the k nearest training set vectors (according to Minkowski distance) are found, and the classification is done via the maximum of summed kernel densities. In addition even ordinal and continuous variables can be predicted. A formula object.

kknn is a R package for Weighted k-Nearest Neighbors Classification, Regression and Clustering. You can install the latest released version install.packages("kknn")

2019年2月24日 · 本文详细介绍了如何在R语言中使用kknn包实现KNN算法，以红酒质量分类数据集为例，探讨了数据简介、R包下载、KNN实现过程以及ROC曲线和AUC值的计算，强调了kknn函数的关键参数设置。

2019年3月31日 · 在R语言中，可以使用多个包来实现kNN算法，比如`class`包中的`knn()`函数，或者`kknn`包中的`train.kknn()`函数等。 这些函数为用户提供了简便的接口来进行 kNN 模型的训练和预测。

2024年2月1日 · R-kknn包主要是是用于加权K近邻分类、回归和 聚类模型 的应用(kknn is a R package for Weighted k-Nearest Neighbors Classification, Regression and Clustering),其官网为： http:// klausvigo.github.io/kkn n/ 。

2024年2月1日 · 今天这篇推文，我们就使用R语言的 kknn包 进行类别插值可视化绘制，主要知识点如下： R-kknn包主要是是用于加权K近邻分类、回归和 聚类 模型的应用 (kknn is a R package for Weighted k-Nearest Neighbors Classification, Regression and Clustering),其官网为： http://klausvigo.github.io/kknn/。