Topological Data Analysis
Larry Wasserman
2017 · Annual Review of Statistics and Its Application · 514 citations
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.
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