Simultaneous feature selection and weighting - An evolutionary multi-objective optimization approach

@article{Paul2015SimultaneousFS,
  title={Simultaneous feature selection and weighting - An evolutionary multi-objective optimization approach},
  author={Sujoy Paul and Swagatam Das},
  journal={Pattern Recognition Letters},
  year={2015},
  volume={65},
  pages={51-59}
}
Selection of feature subset is a preprocessing step in computational learning, and it serves several purposes like reducing the dimensionality of a dataset, decreasing the computational time required for classification and enhancing the classification accuracy of a classifier by removing redundant and misleading or erroneous features. This paper presents a new feature selection and weighting method aided with the decomposition based evolutionary multi-objective algorithm called MOEA/D. The… CONTINUE READING
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