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.

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.

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2月24日 · knn算法的思想非常简单：对于任意n维输入向量，分别对应于特征空间中的一个点，输出为该特征向量所对应的类别标签或预测值。knn算法是一种非...

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.

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。

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

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/ 。

2022年5月12日 · 本文将主要介绍LNN算法的R语言实现，使用的R包是kknn。 数据简介 本文数据选择了红酒质量 分类 数据集 ，这是一个很经典的 数据集 ，原 数据集 中“质量”这一变量取值有{3，4，5，6，7，8}。