Separating Topological Noise from Features Using Persistent Entropy

@article{Atienza2016SeparatingTN,
  title={Separating Topological Noise from Features Using Persistent Entropy},
  author={Nieves Atienza and Roc{\'i}o Gonz{\'a}lez-D{\'i}az and Matteo Rucco},
  journal={ArXiv},
  year={2016},
  volume={abs/1605.02885}
}
In this paper, we derive a simple method for separating topological noise from topological features using a novel measure for comparing persistence barcodes called persistent entropy. 
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