# KDE-diffusion Kernel density estimation via diffusion in 1d and 2d Provides the fast, adaptive kernel density estimator based on linear diffusion processes for one-dimensional and two-dimensional input data as outlined in the [2010 paper by Botev et al.][paper] The reference implementation for [1d] and [2d], in Matlab, was provided by the paper's first author, Zdravko Botev. This is a re-implementation in Python, with added test coverage. Find the full [documentation on Read-the-Docs][docs]. [paper]: https://dx.doi.org/10.1214/10-AOS799 [1d]: https://mathworks.com/matlabcentral/fileexchange/14034 [2d]: https://mathworks.com/matlabcentral/fileexchange/17204 [docs]: https://kde-diffusion.readthedocs.io