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AKPCA

Description: AKPCA is a package for adaptive kernel selection for kernel principal component analysis. This package includes the MATLAB implementation of AKPCA, which can effectively learn the kernels when the class labels of the training examples are not available.

References:
D. Zhang, Z.-H. Zhou, and S. Chen. Adaptive kernel principal component analysis with unsupervised learning of kernels. In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong Kong, China, 2006, pp.1178-1182.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact .

Requirement: The package was developed with MATLAB.

ATTN2: This package was developed by . For any problem concerning the code, please feel free to contact Dr. Zhang.

Download: [code] (1KB)
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