Topological Data Analysis

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.

arXiv commentSubmitted to Annual Reviews in Statistics

Cited by in corpus (1)

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