[1] Bar-Hillel A,Hertz T,Shental N,et al.Learning a mahalanobis metric from equivalence constraints
[J].Journal of Machine Learning Research,2005,6:937-965.

[2] Tang W,Zhong S.Pairwise constraints-guided dimensionality reduction
[C] ∥SDM'06Workshop onF eature Selection for Data Mining,2006.

[3] Zhang D Q,Zhou Z H,Chen S C.Semi-supervised dimensionality reduction
[C] ∥Proceeding of the7th SI-A M International Conference on Data Mining,2007.

[4] 韦佳,彭宏。基于局部与全局保持的半监督维数约减方法
[J].软件学报,2008,19(11):2833-2842.W ei Jia,Peng Hong,Local and global preservingb ased semi-supervised dimensionality redction method
[J].Journal of Software,2008,19(11):2833-2842.

[5] Jia Wei,Hong Peng.Neighbourhood preservingb ased semi-supervised dimensionality reduction
[J].E lectronics Letters,2008,44(20):1190-1192.

[6] Hakan Cevikalp,Jakob Verbeek,Frédéric Jurie,Alexander Kl & #228;ser.Semi-supervised dimensionality reduction using pairwise equivalence constraints
[C] ∥I n International Conference on Computer VisionT heory and Applications,2008.

[7] He Xiao-fei,Partha Niyogi.Locality preserving directions
[C] ∥In Advances in Neural InformationP rocessing Systems,2003.

[8] Joshua B Tenenbaum,Vinde Silva,John C Langford.A global geometric framework for nonlinear dimensionality reduction
[J].Science,2000,290(5500): 2319-2323.