Topological Data Analysis Learning Code

Versión 1.3 (32,3 KB) por 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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Actualizado 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 (2024). Topological Data Analysis Learning Code (https://www.mathworks.com/matlabcentral/fileexchange/47009-topological-data-analysis-learning-code), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2013b
Compatible con cualquier versión
Compatibilidad con las plataformas
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Categorías
Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: 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

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