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文章 2024-04-03 来自：开发者社区

Machine Learning机器学习之K近邻算法（K-Nearest Neighbors，KNN）

前言背景介绍： K近邻算法最早由美国的科学家 Thomas Cover 和 Peter Hart 在 1967 年提出，并且在之后的几十年中得到了广泛的研究和应用。KNN 算法是一种基于实例的学习方法，它不像其他算法一样需要对数据进行假设或者参数拟合，而是直接利用已知的数据样本进行预测。思想： KNN 算法的思想是基于特征空间中的样本点之间的距离来进行分类。它...

文章 2023-12-16 来自：开发者社区

Python高级算法——K近邻算法（K-Nearest Neighbors，KNN）

Python中的K近邻算法（K-Nearest Neighbors，KNN）：理论与实践 K近邻算法（K-Nearest Neighbors，KNN）是一种简单而有效的监督学习算法，广泛应用于分类和回归问题。本文将深入讲解Python中的K近邻算法，包括算法原理、距离度量...

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