Adaptive kernel principal component analysis

@article{Ding2010AdaptiveKP,
  title={Adaptive kernel principal component analysis},
  author={Mingtao Ding and Zheng Tian and Haixia Xu},
  journal={Signal Processing},
  year={2010},
  volume={90},
  pages={1542-1553}
}
An adaptive kernel principal component analysis (AKPCA) method, which has the flexibility to accurately track the kernel principal components (KPC), is presented. The contribution of this paper may be divided into two parts. First, KPC are recursively formulated to overcome the batch nature of standard kernel principal component analysis (KPCA). This formulation is derived from the recursive eigendecomposition of kernel covariance matrix and indicates the KPC variation caused by the new data… CONTINUE READING

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