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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...

[帮助文档] 机器学习线性支持向量机算法组件的配置及示例

支持向量机SVM（Support Vector Machine）是基于统计学习理论的一种机器学习方法，通过寻求结构风险最小化，提高学习机泛化能力，从而实现经验风险和置信范围最小化。本文介绍线性支持向量机算法组件的配置方法及使用示例。

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机器学习：kNN近邻算法

描述上图中，绿色圆要被决定赋予哪个类，是红色三角形还是蓝色四方形？如果K=3，由于红色三角形所占比例为2/3，绿色圆将被赋予红色三角形那个类，如果K=5，由于蓝色四方形比例为3/5，因此绿色圆被赋予蓝色四方形类。 K最近邻(k-Nearest Neighbor，KNN)分类算法，是一个理论上比较成...

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更新时间 2023-06-15 18:50:12

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