The singular perturbation algorithm is proposed to reduce the system dimension. 采用奇异摄动算法使系统降维。
Maximum likelihood performs a nonlinear dimensionality reduction, choosing permutations that compact the permuted image vectors into a volumetrically minimal subspace. 极大似然方法实现了非线性的降维，将向量压缩到一个低维空间。
