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Topological Data Analysis

Methodology 2016-09-28 v1
Authors: Larry Wasserman
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Abstract

Topological Data Analysis (TDA) can broadly be described as a collection of data analysis methods that find structure in data. This includes: clustering, manifold estimation, nonlinear dimension reduction, mode estimation, ridge estimation and persistent homology. This paper reviews some of these methods.

Keywords

statistical data analysis discriminant analysis and canonical correlation analysis

Cite

@article{arxiv.1609.08227,
  title  = {Topological Data Analysis},
  author = {Larry Wasserman},
  journal= {arXiv preprint arXiv:1609.08227},
  year   = {2016}
}

Comments

Submitted to Annual Reviews in Statistics

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