论文信息 - Separating Topological Noise from Features Using Persistent Entropy

Separating Topological Noise from Features Using Persistent Entropy

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.

Rocío González-Díaz | Matteo Rucco | Nieves Atienza

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