An entropy-based persistence barcode

In persistent homology, the persistence barcode encodes pairs of simplices meaning birth and death of homology classes. Persistence barcodes depend on the ordering of the simplices (called a filter) of the given simplicial complex. In this paper, we define the notion of “minimal” barcodes in terms o...

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Bibliographic Details
Authors: Chintakunta, Harish, Gentimis, Thanos, González Díaz, Rocío, Jiménez Rodríguez, María José, Krim, Hamid
Format: article
Publication Date:2015
Country:España
Institution:Universidad de Sevilla (US)
Repository:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/30937
Online Access:http://hdl.handle.net/11441/30937
https://doi.org/doi:10.1016/j.patcog.2014.06.023
Access Level:Open access
Keyword:Persistent homology
Persistence barcodes
Hasse diagram
Simplicial complexes
Entropy
Filtration
Filter
Description
Summary:In persistent homology, the persistence barcode encodes pairs of simplices meaning birth and death of homology classes. Persistence barcodes depend on the ordering of the simplices (called a filter) of the given simplicial complex. In this paper, we define the notion of “minimal” barcodes in terms of entropy. Starting from a given filtration of a simplicial complex K, an algorithm for computing a “proper” filter (a total ordering of the simplices preserving the partial ordering imposed by the filtration as well as achieving a persistence barcode with small entropy) is detailed, by way of computation, and subsequent modification, of maximum matchings on subgraphs of the Hasse diagram associated to K. Examples demonstrating the utility of computing such a proper ordering on the simplices are given.