该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法，也有典型的流形学习算法，如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local

拉普拉斯映射的基本思想是在高维空间中离得 很近的点投影到低维空间中的像也应该离得很近,最终求解归结到图拉普拉斯算子的广义特征值问题,本例为拉普拉斯调用函数,对于学习维数约简的同学或许有帮助.-The basic idea is the Laplace mapping from very near the point of projection in the high-dimensional space as low-dimensio

比較了lle算法，le算法等經典降維算法的效果的matlab源碼-Lle comparison algorithm, le algorithm classic effect dimensionality reduction algorithm matlab source

laplacian eigenmaps算法-laplacian eigenmaps Algorithm