[R] Geometry of data for ML

This paper Diffusion Geometry defines the geometry of data and looks like a really powerful method:
[arxiv.org/abs/2405.10858](http://arxiv.org/abs/2405.10858)

It seems much more effective than persistent homology so maybe means people will start to use geometry and topology more in ML

https://preview.redd.it/aszt3w0qf52d1.png?width=1202&format=png&auto=webp&s=0e640e2c9fc294a32369cede18b958a58daf7f25

https://preview.redd.it/yadbcdchf52d1.png?width=748&format=png&auto=webp&s=aaffbf1e5b66def721b4ab90ec82c54c82555447

data diffusion geometry machinelearning paper people topology will