Nonlinear dimensionality reduction by curvature minimization

@article{Yoshiyasu2016NonlinearDR,
  title={Nonlinear dimensionality reduction by curvature minimization},
  author={Yusuke Yoshiyasu and Eiichi Yoshida},
  journal={2016 23rd International Conference on Pattern Recognition (ICPR)},
  year={2016},
  pages={3590-3596}
}
In this paper, we introduce a nonlinear dimensionality reduction (NLDR) technique that can construct a low-dimensional embedding efficiently and accurately with low embedding distortions. The key idea is to divide NLDR into nonlinearity reduction and linear dimensionality reduction, which simplifies the overall NLDR process. Nonlinearity reduction is based… CONTINUE READING