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Numeric invariants from multidimensional persistence

Journal Article · · Journal of Applied and Computational Topology
 [1];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Stanford Univ., Stanford, CA (United States)

In this paper, we analyze the space of multidimensional persistence modules from the perspectives of algebraic geometry. We first build a moduli space of a certain subclass of easily analyzed multidimensional persistence modules, which we construct specifically to capture much of the information which can be gained by using multidimensional persistence over one-dimensional persistence. We argue that the global sections of this space provide interesting numeric invariants when evaluated against our subclass of multidimensional persistence modules. Lastly, we extend these global sections to the space of all multidimensional persistence modules and discuss how the resulting numeric invariants might be used to study data.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1335203
Report Number(s):
SAND-2016-8670J; 647142
Journal Information:
Journal of Applied and Computational Topology, Vol. 1, Issue 1; Related Information: See SAND--2017-4533J for final version; ISSN 2367-1726
Publisher:
Springer
Country of Publication:
United States
Language:
English

References (5)

A stable multi-scale kernel for topological machine learning June 2015
The ring of algebraic functions on persistence bar codes January 2016
Topology and data January 2009
Topological pattern recognition for point cloud data May 2014
The Theory of Multidimensional Persistence April 2009