Zigzag Persistence
Gunnar Carlsson, Vin de Silva
Abstract
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Gunnar Carlsson, Vin de Silva
Abstract
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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.
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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.
Key concepts: Zigzag, Persistence (discontinuity), Persistent homology, Topological data analysis, Quiver, Mathematics, Point cloud, Pure mathematics