Topological Data Analysis Learning Code
This code takes a (small) set of data as an input and computes the Betti Numbers of that data.
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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.
Cite As
Adam Cutbill (2026). Topological Data Analysis Learning Code (https://au.mathworks.com/matlabcentral/fileexchange/47009-topological-data-analysis-learning-code), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: gplot
General Information
- Version 1.3 (32.3 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.3 | Replacing ismember function with newer version. |
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| 1.2 | -Fixed some minor mistakes in the overall description. |
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| 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. |
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| 1.0.0.0 |
