Code supporting "Comparing R packages for calculation of persistent homology" manuscript
-
Updated
Jan 13, 2021 - R
Code supporting "Comparing R packages for calculation of persistent homology" manuscript
This project includes code and R scripts implementing the author's doctoral thesis research work on the simplicial Hausdorff distance.
Persistance and barcode diagrams using TDAstats package.
Maths for Big Data
Hypothesis testing for topological data analysis via the smooth Euler characteristic transform
All code, scripts, and figures for Topological Data Analysis related papers.
recipes + dials extension for persistent homology and vectorizations thereof
uniform samplers from immersed manifolds
procedures to generate landmark sets from finite metric spaces
R package for generating synthetic shapes and images using the α-shape sampler
Randomness of Shapes and Statistical Inference on Shapes via the Smooth Euler Characteristic Transform
R interface & extension to an adapted Persistence Landscapes Toolbox
An R package for feature selection in topological spaces.
R code associated with preprint proposing flat persistence diagram for better visualization of persistent homology.
Code to Implement the Smooth Euler Characteristic Transform (SECT)
A statistical framework for feature selection and association mapping with 3D shapes
R package for computing the Mapper construction from Topological Data Analysis
ggplot2 extension to visualize persistent homology
R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
Add a description, image, and links to the topological-data-analysis topic page so that developers can more easily learn about it.
To associate your repository with the topological-data-analysis topic, visit your repo's landing page and select "manage topics."