ZHANG Z, WANG J. MLLE: Modified locally linear embedding using multiple weights [A]. 2007.
[2]
BELKIN M, NIYOGI P. Laplacian eigenmaps and spectral techniques for embedding and clustering [M]. Cambridge, ma:the Mit Press, 2001.
[3]
CHANG H, YEUNG D Y. Robust locally linear embedding [J]. Pattern Recognition, 2006(6):1053-1065.doi:10.1016/j.patcog.2005.07.011.
[4]
TENENBAUM J, SILVA V D, LANGFORD J. A global geometric framework for nonlinear dimension reduction [J]. Science, 2000.2319-2323.doi:10.1126/science.290.5500.2268.
[5]
ROWEIS S, SAUL L. Nonlinear dimensionality reduction by locally linear embedding [J]. Science, 2000.2323-2326.
[6]
ZHANG Z, ZHA H. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment [J]. SIAM Journal on Scientific Computing, 2005(1):313-338.
[7]
SILVA V, TENENBAUM J B. Global versus local methods in nonlinear dimensionality reduction [M]. Cambridge, ma:the Mit Press, 2003.705-712.
[8]
ZHANG Z, ZHA H. Local linear smoothing for nonlinear manifold learning [R]. PA:Pennsylvania Statue University, 2003.
