sklvq - A collection of expandable Learning Vector Quantization algorithms

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}
}