Unsupervised feature selection using a neuro-fuzzy approach

@article{Basak1998UnsupervisedFS,
  title={Unsupervised feature selection using a neuro-fuzzy approach},
  author={Jayanta Basak and Rajat K. De and Sankar K. Pal},
  journal={Pattern Recognition Letters},
  year={1998},
  volume={19},
  pages={997-1006}
}
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ̄exible membership function incorporating weighed distance is introduced in the evaluation index to make the modeling of clusters more appropriate. A set of optimal weighing coecients in terms of networks parameters representing individual feature importance is obtained through connectionist minimization. Besides, the investigation… CONTINUE READING
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