Documentation with install instruction and examples can be found here: https://sklvq.readthedocs.io/en/latest/
If you find any bugs or have any other suggestions on how to improve the code then please use the issue tracker on github (https://github.com/rickvanveen/sklvq/issues).
Please cite the following publication if you decide using the code in your research:
@article{vanVeen2021, author = {Rick van Veen and Michael Biehl and Gert-Jan de Vries}, title = {sklvq: Scikit Learning Vector Quantization}, journal = {Journal of Machine Learning Research}, year = {2021}, volume = {22}, number = {231}, pages = {1-6}, url = {http://jmlr.org/papers/v22/21-0029.html} }