ClusterValidityIndices.jl

ClusterValidityIndices.jl is a registered JuliaHub package for incremental and batch Cluster Validity Indices (CVI/ICVI). These algorithms are used for determining the quality and performance of a clustering algorithm in the absence of a supervisory signal. The contributions of the project are represented as a paper in the Journal of Open Source Software (JOSS).

The ClusterValidityIndices.jl package is represented in the following locations:

• GitHub
• Documentation
• JuliaHub
• The Journal of Open Source Software (JOSS)

The project can be cited with the following BibTex entry:

@article{Petrenko2022,
  doi = {10.21105/joss.03527},
  url = {https://doi.org/10.21105/joss.03527},
  year = {2022},
  publisher = {The Open Journal},
  volume = {7},
  number = {79},
  pages = {3527},
  author = {Sasha Petrenko and Donald C. Wunsch},
  title = {ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning},
  journal = {Journal of Open Source Software}
}