Incorporating linear discriminant analysis in neural tree for multidimensional splitting

@article{Rani2013IncorporatingLD,
  title={Incorporating linear discriminant analysis in neural tree for multidimensional splitting},
  author={A. Rani and S. Kumar and C. Micheloni and G. Foresti},
  journal={Appl. Soft Comput.},
  year={2013},
  volume={13},
  pages={4219-4228}
}
  • A. Rani, S. Kumar, +1 author G. Foresti
  • Published 2013
  • Computer Science, Mathematics
  • Appl. Soft Comput.
  • In this paper, a new hybrid classifier is proposed by combining neural network and direct fractional-linear discriminant analysis (DF-LDA). The proposed hybrid classifier, neural tree with linear discriminant analysis called NTLD, adopts a tree structure containing either a simple perceptron or a linear discriminant at each node. The weakly performing perceptron nodes are replaced with DF-LDA in an automatic way. Taking the advantage of this node substitution, the tree building process… CONTINUE READING

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