Improving linear discriminant analysis with artificial immune system-based evolutionary algorithms

@article{Mohammadi2012ImprovingLD,
  title={Improving linear discriminant analysis with artificial immune system-based evolutionary algorithms},
  author={Mahdi Mohammadi and Bijan Raahemi and Ahmad Akbari and Babak Nasersharif and Hossein Moeinzadeh},
  journal={Inf. Sci.},
  year={2012},
  volume={189},
  pages={219-232}
}
Mapping techniques based on the linear discriminant analysis face challenges when the class distribution is not Gaussian. While using evolutionary algorithms may resolve some of the issues associated with non-Gaussian distribution, the solutions provided by evolutionary algorithms may get trapped in local optimum. In this paper, we propose a hybrid approach using evolutionary algorithms to improve the accuracy of linear discriminant analysis. We apply combinations of the artificial immune… CONTINUE READING
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