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SSDR

Description: SSDR is a package for semi-supervised dimensionality reduction. This approach works for dimensionality reduction by considering unlabeled data and pairwise constraints.

Reference:

D. Zhang, Z.-H. Zhou, and S. Chen. Semi-supervised dimensionality reduction. In: Proceedings of the 7th SIAM International Conference on Data Mining (SDM'07), Minneapolis, MN, 2007, pp.629-634.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Dr. Daoqiang Zhang (dqzhang@nuaa.edu.cn).

Download: [code] (2KB)
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