Nonparametric weighted feature extraction for classification

@article{Kuo2004NonparametricWF,
  title={Nonparametric weighted feature extraction for classification},
  author={Bor-Chen Kuo and David A. Landgrebe},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2004},
  volume={42},
  pages={1096-1105}
}
In this paper, a new nonparametric feature extraction method is proposed for high-dimensional multiclass pattern recognition problems. It is based on a nonparametric extension of scatter matrices. There are at least two advantages to using the proposed nonparametric scatter matrices. First, they are generally of full rank. This provides the ability to specify the number of extracted features desired and to reduce the effect of the singularity problem. This is in contrast to parametric… CONTINUE READING
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