input: param: parameters of the LMGE algorithm param.mu, param.alpha, param.beta are regularization parameters. param.p: dimension of shared subspace param.k: number of nearest neighbors for Laplacian matrix X: input data Y: ground

lpp算法实现,Locality Preserving Projections局部保持投影算法 hexiaofei的论文(lppLocality Preserving Projections (LPP) builds a graph incorporating neighborhood information of the data set. Using the notion of the Laplacian of the graph, we then compute a transforma