Topological Data Analysis
Posted: 5 Apr 2018
Date Written: March 2018
Abstract
Topological data analysis (TDA) can broadly be described as a collection of data analysis methods that find structure in data. These methods include clustering, manifold estimation, nonlinear dimension reduction, mode estimation, ridge estimation and persistent homology. This paper reviews some of these methods.
Suggested Citation: Suggested Citation
Wasserman, Larry, Topological Data Analysis (March 2018). Annual Review of Statistics and Its Application, Vol. 5, Issue 1, pp. 501-532, 2018, Available at SSRN: https://ssrn.com/abstract=3156968 or http://dx.doi.org/10.1146/annurev-statistics-031017-100045
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