Kernel spectral clustering for dynamic data using multiple kernel learning

@article{PeluffoOrdez2013KernelSC,
  title={Kernel spectral clustering for dynamic data using multiple kernel learning},
  author={Diego Hern{\'a}n Peluffo-Ord{\'o}{\~n}ez and Sergio Garc{\'i}a-Vega and Rocco Langone and Johan A. K. Suykens and Germ{\'a}n Castellanos-Dom{\'i}nguez},
  journal={The 2013 International Joint Conference on Neural Networks (IJCNN)},
  year={2013},
  pages={1-6}
}
In this paper we propose a kernel spectral clustering-based technique to catch the different regimes experienced by a time-varying system. Our method is based on a multiple kernel learning approach, which is a linear combination of kernels. The calculation of the linear combination coefficients is done by determining a ranking vector that quantifies the… CONTINUE READING