  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.
