A kernel principal component analysis algorithm based on sample selection according to pseudo-eigenvalue contribution

Xiaolin Chen, Shunfang Wang, Hao Zhang. A kernel principal component analysis algorithm based on sample selection according to pseudo-eigenvalue contribution. In International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014, Beijing, China, September 28-29, 2014. pages 1-6, IEEE, 2014. [doi]

Abstract

Abstract is missing.