Topological Data Analysis Learning Code

Version 1.3 (32,3 KB) von 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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Aktualisiert 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.

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2013b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Kategorien
Mehr zu Statistics and Machine Learning Toolbox finden Sie in Help Center und MATLAB Answers
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Quellenangaben

Inspiriert von: 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 Veröffentlicht Versionshinweise
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