L1-norm Kernel PCA

@article{Kim2017L1normKP,
  title={L1-norm Kernel PCA},
  author={Cheolmin Kim and Diego Klabjan},
  journal={CoRR},
  year={2017},
  volume={abs/1709.10152}
}
We present the first model and algorithm for L1-norm kernel PCA. While L2-norm kernel PCA has been widely studied, there has been no work on L1-norm kernel PCA. For this non-convex and non-smooth problem, we offer geometric understandings through reformulations and present an efficient algorithm where the kernel trick is applicable. To attest the efficiency… CONTINUE READING