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. © 2010 The Author(s).
Author supplied keywords
Cite
CITATION STYLE
Carlsson, G., & de Silva, V. (2010). Zigzag Persistence. Foundations of Computational Mathematics, 10(4), 367–405. https://doi.org/10.1007/s10208-010-9066-0
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.