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A Semi-Supervised Classifier for Datasets with Unknown Classes (SSC-UC)

This package is currently under development - details and package description will follow soon.

Installation

This version of the R package can be installed as follows:

  remotes::install_github("sschrunner/SSC-UC", build_manual = TRUE, build_vignettes = TRUE)

Dependencies

  • R (>= 3.5.0)
  • knitr,
  • mclust,
  • stats,
  • utils

Citation

If you use SSC-UC in a report or scientific publication, we would appreciate citations to the following article:

Schrunner, S. et al. (2020). A generative semi-supervised classifier for datasets with unknown classes. In Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC ’20). Association for Computing Machinery, New York, NY, USA, 1066–1074. https://doi.org/10.1145/3341105.3373890

Bibtex entry:

@inproceedings{Schrunner2020,
    doi = {10.1145/3341105.3373890},
    url = {https://doi.org/10.1145/3341105.3373890},
    year = {2020},
    month = mar,
    publisher = {{ACM}},
    author = {Stefan Schrunner and Bernhard C. Geiger and Anja Zernig and Roman Kern},
    title = {A generative semi-supervised classifier for datasets with unknown classes},
    booktitle = {Proceedings of the 35th Annual {ACM} Symposium on Applied Computing}
}

Contact

This package is currently under development. For issues, feel free to contact Stefan Schrunner.