Shape theory and topological statistics

Technical documentation

Open access

Rutgers University

2020

DOI:

https://doi.org/10.7282/t3-ws6g-8563

Abstract

Shape

Data

Geometry

Statistics

Topology

In this work we consider a survey on the geometric statistics and shape theory to understand how we may utilize shape information to learn from data.

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Title: Subtitle: Shape theory and topological statistics
Creators: Kemal Gursoy (Author) - Management Science & Information Systems, Rutgers University
Date published: 2020
Publisher: Rutgers University
Number of pages: 1 online resource (26 pages)
Academic Unit: Rutgers Business School - Newark and New Brunswick; Management Science and Information Systems (RBS); Part-time Lecturers - Newark (RBS)
Language: English
Resource Type: Technical documentation
Comment: Presented at the INFORMS 2019 Annual Conference, Washington State Convention Center, Seattle, Washington, on October 20, 2019, 4:30 PM.
Identifiers: 991031549862504646