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Topological Data Analysis

TDATopological Data Analysis is a data analysis technique that has gained particular attention in the 2020s, employing Algebraic Topology to focus on the essential shapes inherent in data. It is considered a promising approach for solving the remaining challenges in modern society swept by Statistics and Deep Learning, especially known for its effectiveness in analyzing unstructured data.

Algebraic Topology

Homotopy

Complexes

Free Groups

Homology

Computational Topology

Persistent Homology

References

  • Edelsbrunner, Harer. (2010). Computational Topology An Introduction
  • Dantchev. (2012). Efficient construction of the Cech complex
  • Hatcer. (2002). Algebraic Topology
  • Munkres. (1984). Elements of Algebraic Topology
  • Raul Rabadan. (2020). Topological Data Analysis for Genomics and Evolution
  • Sheffar. (2020). Introductory Topological Data Analysis
  • Zomorodian. (2005). Computing Persistent Homology

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