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Mathematics · Topology

Topological Data Analysis

A topic within Topology, itself one of 11 topics in that field and part of Mathematics.

Reading on Topological Data Analysis

3

A way in

  1. Start here

    Assumes you know the vocabulary.

    Topology and Data

    Gunnar Carlsson · 2009

    Argues that the shape of high-dimensional data — its clusters, loops and voids — is a legitimate object of study in its own right, and adapts…

    +1 more at this level

  2. Go deeper

    Primary sources and full treatments.

    Persistent Homology - A Survey

    Herbert Edelsbrunner & John Harer · 2008

    Argues that persistence itself, not any single scale, is the right topological invariant of noisy data, laying out an algorithm that extracts robust…

3 works

Paper2009

Topology and Data

Gunnar Carlsson

Argues that the shape of high-dimensional data — its clusters, loops and voids — is a legitimate object of study in its own right, and adapts homology to work on point clouds instead of manifolds.

link checked 17 Sept 2026
FreeIntermediate
Book2014

Elementary Applied Topology

Robert Ghrist

Argues that topology, not just calculus, is the natural mathematics of large-scale qualitative structure, building the case through persistent homology, sheaves and Euler calculus applied to sensor networks, signals and data.

link checked 17 Sept 2026
FreeIntermediate
Paper2008

Persistent Homology - A Survey

Herbert Edelsbrunner & John Harer

Argues that persistence itself, not any single scale, is the right topological invariant of noisy data, laying out an algorithm that extracts robust components, loops and voids from a point cloud.

link checked 17 Sept 2026

Other topics in Topology