Reinforcement learning based distance metric filtering approach in clustering

@article{Ali2017ReinforcementLB,
  title={Reinforcement learning based distance metric filtering approach in clustering},
  author={Bassel Ali and Ken-ichi Fukui and Wasin Kalintha and Koichi Moriyama and Masayuki Numao},
  journal={2017 IEEE Symposium Series on Computational Intelligence (SSCI)},
  year={2017},
  pages={1-8}
}
Conventional feature selection methods may not provide sufficient means to deal with the diverse growing amount of data nowadays. Evolutionary Distance Metric Learning (EDML) relies on an evolutionary approach in its distance metric learning process; this process in case of diagonal EDML can be viewed as an embedded feature weighting one. However, such process is done simultaneously on all features and does not explicitly select the features. This paper introduces a new hybrid system R-EDML… CONTINUE READING

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