Topological Data Analysis Learning Code

Version 1.3 (32,3 ko) par Adam Cutbill
This code takes a (small) set of data as an input and computes the Betti Numbers of that data.
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Mise à jour 14 jan. 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.

Citation pour cette source

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

Compatibilité avec les versions de MATLAB
Créé avec R2013b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
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En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et MATLAB Answers
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Remerciements

Inspiré par : gplot

Topological Data Analysis

Topological Data Analysis/AnalyzeComplex

Topological Data Analysis/CreateComplex

Topological Data Analysis/SupportFunctions

Topological Data Analysis/VRComplex

Topological Data Analysis/Visualization

Version Publié le Notes de version
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