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维数约简

于 2022-09-22 发布 文件大小:1.07 MB
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这个 Matlab 工具箱实现 34 维数约简和度量学习技术。 这些技巧是通过 COMPUTE_MAPPING 函数或通过 GUI 的所有可用。 下列方法是可用的: -主成分分析 "(PCA) -线性判别分析 "(LDA) -多维标度 (" MDS") -概率主成分分析 (" ProbPCA") 因素分析 (" FactorAnalysis") -说映射 (" 说") -Isomap ("Isomap") -地标 Isomap (" LandmarkIsomap") -局部线性嵌入 "(LLE) -拉普拉斯 Eigenmaps "(拉普拉斯) 请点击左侧文件开始预览 !预览只提供20%的代码片段,完整代码需下载后查看 加载中 侵权举报

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