Topological Data Analysis Learning Code

This code takes a (small) set of data as an input and computes the Betti Numbers of that data.

Versión 1.3 (32,3 KB)
1,9K Descargas
(6)
14 ene 2023

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This code was developed primarily as a learning tool for Topological Data Analysis. It was written after reading papers about the topic.
I am not an active researcher in this field, but writing the code helped me gain a brief understanding of TDA. I hope it helps others try out this really interesting topic in mathematics/data analysis. It is not intended to actually perform TDA on large datasets.
The code computes the Betti Numbers of data using a simplicial complex.

Citar como

Adam Cutbill (2026). Topological Data Analysis Learning Code (https://es.mathworks.com/matlabcentral/fileexchange/47009-topological-data-analysis-learning-code), MATLAB Central File Exchange. Recuperado .

Agradecimientos

Inspirado por: gplot

Categorías

Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
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Versión Publicado Notas de la versión
1.3

Replacing ismember function with newer version.
1.2

-Fixed some minor mistakes in the overall description.
1.1.0.0

Requires statistics toolbox and MATLAB 2010b or newer (for pdist2). I may modify this to work on older version as pdist2 is relatively simple function.
1.0.0.0