The main idea is to approximate the classical local linear embedding (LLE) by introducing a linear transformation matrix and then find the solution in a very high dimensional space by kernel trick.
其主要思想是通过引入线性变换矩阵来近似经典的局部线性嵌入(LLE)，然后通过核方法的技巧在高维空间里求解。
The computing results show that it not only can find rapidly the approximate global optimal solution, but also has high computing accuracy.
计算结果表明，该算法能快速地求出问题的全局最优解，且具有较好的计算精度。
The numerical method to find the optimal approximate solution and numerical experiments are provided.
证明了最佳逼近问题存在唯一解，并给出了求最佳逼近解的算法和数值算例。
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