S-ISOMAP

Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

Reference:   X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, in press.

ATTN:        This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (zhouzh@nju.edu.cn).

Requirement: This package was developed with MATLAB.

Data format: Refer the readme file in the package.

ATTN2:       This package was developed by Mr. Xin Geng (gengx@lamda.nju.edu.cn). There is a ReadMe file roughly explaining the codes. But for any problem concerning the code, please feel free to contact Mr. Geng.

Download:   [code] (32Kb)