SDEmatlab

  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.)