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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, 2005, vol.35, no.6, pp.1098-1107.

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)
  Name Size
- S-Isomap.rar 30.01 KB

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