Topological Data Analysis

Larry Wasserman

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arXiv · 1609.08227

Topological Data Analysis

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.

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BibTeX RIS

Larry Wasserman. 2016-09-27. Topological Data Analysis. https://arxiv.org/abs/1609.08227

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