knn近邻算法的相关内容

文章 2023-06-14 来自：开发者社区

学习笔记：机器学习经典算法-kNN(k近邻算法)

算法特点背后思想简单，应用数学原理简单，效果好，而且可以说是在诸多ML算法中独有的不需要训练模型的算法。基本过程：对于判断特征空间中的一个样本点的归类，通过在该样本点周围搜索$k$个与其距离最近的邻居，然后根据这$k$个邻居所属类别占比来来判断目标样本点的最可能类别。一、分类kNN算法的基本过程（python） ①数据集准备 import matplotlib.pyplot...

文章 2022-11-17 来自：开发者社区

【手写算法实现】之 KNN K近邻算法

【手写算法实现】之 KNN K近邻算法k-近邻(k-Nearest Neighbors) 的思想是给定测试样本，基于某种距离度量(⼀般使⽤欧⼏⾥德距离) 找出训练集中与其最靠近的k kk 个训练样本，然后基于这k kk 个“邻居” 的信息来进⾏预测(“物以类聚”)。算法步骤：根据给定的距离度量，在训练集中找出与x 最近邻的k 个点&#x...

文章 2019-03-05 来自：开发者社区

Python 实现 KNN（K-近邻）算法

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更新时间 2023-11-06 13:23:56

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学习笔记： 机器学习经典算法-kNN(k近邻算法)

【手写算法实现】 之 KNN K近邻算法