Separating Topological Noise from Features using Persistent Entropy
classification
💻 cs.IT
math.IT
keywords
topologicalentropyfeaturesnoisepersistentseparatingbarcodescalled
Add this Pith Number to your LaTeX paper
What is a Pith Number?\usepackage{pith}
\pithnumber{6JLPVAQK}
Prints a linked pith:6JLPVAQK badge after your title and writes the identifier into PDF metadata. Compiles on arXiv with no extra files. Learn more
read the original abstract
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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.