Title	Persistence-Based Summaries for Metric Graphs
Creator	Sazdanovic, Radmila
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2017-05-11T09:45
Description	Metric graphs are special types of metric spaces used to model and represent simple, ubiquitous, geometric relations in data such as biological networks, social networks, and road networks. In this talk we focus on using persistence to obtain qualitative-quantitative summaries of metric graphs. We analyze the information contained in these persistence- based summaries of graphs, and compare their discriminative powers. This is joint work with Ellen Gasparovic, Maria Gommel, Emilie Purvine, Bei Wang, Yusu Wang, and Lori Ziegelmeier.
Extent	14 minutes
Subject	Mathematics; Biology and other natural sciences; Algebraic topology; Mathematical biology
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: North Carolina State University
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2017-12-04
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0361148
URI	http://hdl.handle.net/2429/63797
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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