- Added a nearest-neighbour descent based variant for the k-MST algorithm. This version creates approximate k-MSTs and is much faster on datasets that do not behave nicely with KD-Trees. The compute time and accuracy are evaluated in new benchmark notebooks.
- Keyword arguments for UMAP are no longer taken from
**kwargs. Instead use the namedumap_kwargs=dict(...)keyword argument.
Full Changelog: https://github.com/vda-lab/pyflasc/commits/v0.1.3