Introduction

Frédéric Chazal, Vin de Silva, Marc Glisse, Steve Oudot

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter begins with a brief history of topological persistence from the early 1990s to the present day. This gives context for the contributions of the present monograph. The need for an effective theory of real-parameter persistence modules (the main topic of the monograph) is illustrated by two applications of persistence, to the machine-learning tasks of classification and clustering. We provide an extensive reading list, arranged by topic, to help acquaint the reader with the wider literature on persistence.

Original languageEnglish
Title of host publicationSpringerBriefs in Mathematics
PublisherSpringer Science and Business Media B.V.
Pages1-13
Number of pages13
DOIs
Publication statusPublished - 1 Jan 2016
Externally publishedYes

Publication series

NameSpringerBriefs in Mathematics
ISSN (Print)2191-8198
ISSN (Electronic)2191-8201

Keywords

  • Algebraic Topology
  • Hausdorff Distance
  • Quiver Representation
  • Simplicial Complex
  • Stability Theorem

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