articleNov 7, 2002Closed access

Topological persistence and simplification

Duke University · Oklahoma State University Oklahoma City · +1 more institution

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Abstract

We formalize a notion of topological simplification within the framework of a filtration, which is the history of a growing complex. We classify a topological change that happens during growth as either a feature or noise, depending on its life-time or persistence within the filtration. We give fast algorithms for completing persistence and experimental evidence for their speed and utility.

Citation impact

685
total citations
FWCI
8.40
Percentile
100%
References
10
Citations per year

Authors

3

Topics & keywords

Keywords
  • Persistence (discontinuity)
  • Filtration (mathematics)
  • Topological data analysis
  • Topology (electrical circuits)
  • Persistent homology
  • Noise (video)
  • Computer science
  • Feature (linguistics)
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