TDAvec: Computing Vector Summaries of Persistence Diagrams for Topological Data Analysis in R and Python

R Jupyter Notebook Python Submitted 29 April 2025Published 18 October 2025
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Authors

Umar Islambekov (0000-0002-5103-3238), Aleksei Luchinsky

Citation

Islambekov et al., (2025). TDAvec: Computing Vector Summaries of Persistence Diagrams for Topological Data Analysis in R and Python. Journal of Open Source Software, 10(114), 8532, https://doi.org/10.21105/joss.08532

@article{Islambekov2025, doi = {10.21105/joss.08532}, url = {https://doi.org/10.21105/joss.08532}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {114}, pages = {8532}, author = {Islambekov, Umar and Luchinsky, Aleksei}, title = {TDAvec: Computing Vector Summaries of Persistence Diagrams for Topological Data Analysis in R and Python}, journal = {Journal of Open Source Software} }
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Persistent Homology Topological Data Analysis Persistence Diagram Vectorization of Persistence Diagrams

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