基于MATLAB的SVDD决策边界可视化(libsvm-3.23)

上传者: iqiukp | 上传时间: 2021-08-01 16:52:11 | 文件大小: 581KB | 文件类型: ZIP
支持向量数据描述(Support Vector Data Description,SVDD)是一种单值分类算法,能够实现目标样本和非目标样本的区分。
该代码实现了libsvm-3.23工具箱中SVDD的决策边界可视化,其实现流程为:
1. 建立训练集的SVDD超球体模型
2. 利用网格法填充训练集区域
3. 预测每个网格点的得分
4. 根据网格点得分绘制等高线
5. 绘制决策边界

利用香蕉数据集进行示例,给出了"欠拟合"、“正常”和“过拟合”情况下的SVDD决策边界可视化结果以及测试集的预测结果。

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