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.
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 (2024). Topological Data Analysis Learning Code (https://www.mathworks.com/matlabcentral/fileexchange/47009-topological-data-analysis-learning-code), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Créé avec
R2013b
Compatible avec toutes les versions
Plateformes compatibles
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Remerciements
Inspiré par : gplot
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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 | |
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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 |