SDEmatlab
于 2013-09-11 发布
文件大小:8KB
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代码说明:
基于监督学习的一种非线性数据降维方法,可以很好地将低维特征从其所在的高维流形中提取出来,用于数据分类。(A nonlinear data dimension reduction based on supervised learning method, is a good way to the lower dimensional feature extracted from its place of higher dimensional manifold, used for data classification.)
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