Towards improving cluster-based feature selection with a simplified silhouette filter

@article{Covoes2011TowardsIC,
  title={Towards improving cluster-based feature selection with a simplified silhouette filter},
  author={Thiago F. Covoes and Eduardo R. Hruschka},
  journal={Inf. Sci.},
  year={2011},
  volume={181},
  pages={3766-3782}
}
0020-0255/$ see front matter 2011 Elsevier Inc doi:10.1016/j.ins.2011.04.050 ⇑ Corresponding author. Tel.: +55 (16) 3373 8182 E-mail addresses: tcovoes@icmc.usp.br (T.F. Covõ This paper proposes a filter-based algorithm for feature selection. The filter is based on the partitioning of the set of features into clusters. The number of clusters, and consequently the cardinality of the subset of selected features, is automatically estimated from data. The computational complexity of the proposed… CONTINUE READING

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