Incorporating linear discriminant analysis in neural tree for multidimensional splitting

@article{Rani2013IncorporatingLD,
  title={Incorporating linear discriminant analysis in neural tree for multidimensional splitting},
  author={Asha Rani and Sanjeev Kumar and Christian Micheloni and Gian Luca Foresti},
  journal={Appl. Soft Comput.},
  year={2013},
  volume={13},
  pages={4219-4228}
}
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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