Zigzag Persistence

  • Authors:
  • Gunnar Carlsson;Vin de Silva

  • Affiliations:
  • Stanford University, Department of Mathematics, Stanford, CA, USA;Pomona College, Department of Mathematics, Claremont, CA, USA

  • Venue:
  • Foundations of Computational Mathematics
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe a new methodology for studying persistence of topological features across a family of spaces or point-cloud data sets, called zigzag persistence. Building on classical results about quiver representations, zigzag persistence generalises the highly successful theory of persistent homology and addresses several situations which are not covered by that theory. In this paper we develop theoretical and algorithmic foundations with a view towards applications in topological statistics.