Filter based backward elimination in wrapper based PSO for feature selection in classification

@article{Nguyen2014FilterBB,
  title={Filter based backward elimination in wrapper based PSO for feature selection in classification},
  author={Bach Hoai Nguyen and Bing Xue and Ivy Liu and Mengjie Zhang},
  journal={2014 IEEE Congress on Evolutionary Computation (CEC)},
  year={2014},
  pages={3111-3118}
}
The advances in data collection increase the dimensionality of the data (i.e. the total number of features) in many fields, which arises a challenge to many existing feature selection approaches. This paper develops a new feature selection approach based on particle swarm optimisation (PSO) and a local search that mimics the typical backward elimination feature selection method. The proposed algorithm uses a wrapper based fitness function, i.e. the classification error rate. The local search is… CONTINUE READING

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