Feature selection for structure-activity correlation using binary particle swarms.

@article{Agrafiotis2002FeatureSF,
  title={Feature selection for structure-activity correlation using binary particle swarms.},
  author={Dimitris K. Agrafiotis and Walter Cede{\~n}o},
  journal={Journal of medicinal chemistry},
  year={2002},
  volume={45 5},
  pages={1098-107}
}
We present a new feature selection algorithm for structure-activity and structure-property correlation based on particle swarms. Particle swarms explore the search space through a population of individuals that adapt by returning stochastically toward previously successful regions, influenced by the success of their neighbors. This method, which was originally intended for searching multidimensional continuous spaces, is adapted to the problem of feature selection by viewing the location… CONTINUE READING

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