To cite the R package SOMbrero in publications use:

Olteanu M, Villa-Vialaneix N (2015). “On-line relational and multiple relational SOM.” Neurocomputing, 147, 15–30. doi:10.1016/j.neucom.2013.11.047.

Villa-Vialaneix N (2017). “Stochastic self-organizing map variants with the R package SOMbrero.” In JC L, M C, M O (eds.), Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM 2017), 1–7.

Olteanu M, Villa-Vialaneix N, Cottrell M (2012). “On-line relational SOM for dissimilarity data.” In Estevez, P., Principe, J., Zegers, P., G. B (eds.), Advances in Self-Organizing Maps (Proceedings of WSOM 2012, Santiago, Chili, 12-14 decembre 2012), volume 198 series Advances in Intelligent Systems and Computing series, 13–22.

Olteanu M, Villa-Vialaneix N (2015b). “Using SOMbrero for clustering and visualizing graphs.” Journal de la Societe Francaise de Statistique, 156, 95–119.

Mariette J, Rossi F, Olteanu M, Villa-Vialaneix N (2017). “Accelerating stochastic kernel SOM.” In M. V (ed.), Proceedings of XXVth European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017), 269–274.

Vialaneix N, Maigne E, Mariette J, Olteanu M, Rossi F, Bendhaiba L, Boelaert J (2024). SOMbrero: SOM Bound to Realize Euclidean and Relational Outputs. R package version 1.4-2 — For new features, see the 'NEWS', https://CRAN.R-project.org/package=SOMbrero.

Corresponding BibTeX entries:

  @Article{,
    title = {On-line relational and multiple relational SOM},
    author = {Madalina Olteanu and Nathalie Villa-Vialaneix},
    journal = {Neurocomputing},
    year = {2015},
    volume = {147},
    pages = {15--30},
    doi = {10.1016/j.neucom.2013.11.047},
  }

  @InProceedings{,
    title = {Stochastic self-organizing map variants with the R package
      SOMbrero},
    author = {Nathalie Villa-Vialaneix},
    year = {2017},
    booktitle = {Proceedings of the 12th International Workshop on
      Self-Organizing Maps and Learning Vector Quantization, Clustering
      and Data Visualization (WSOM 2017)},
    publisher = {IEEE, Nancy, France},
    pages = {1--7},
    editor = {Lamirel JC and Cottrell M and Olteanu M},
  }

  @InProceedings{,
    title = {On-line relational SOM for dissimilarity data},
    author = {Madalina Olteanu and Nathalie Villa-Vialaneix and Marie
      Cottrell},
    booktitle = {Advances in Self-Organizing Maps (Proceedings of WSOM
      2012, Santiago, Chili, 12-14 decembre 2012)},
    address = {Berlin/Heidelberg},
    publisher = {Springer Verlag},
    year = {2012},
    volume = {198},
    pages = {13--22},
    editor = {{Estevez} and {P.} and {Principe} and {J.} and {Zegers}
      and {P.} and Barreto G.},
    series = {Advances in Intelligent Systems and Computing series},
  }

  @Article{,
    title = {Using SOMbrero for clustering and visualizing graphs},
    author = {Madalina Olteanu and Nathalie Villa-Vialaneix},
    journal = {Journal de la Societe Francaise de Statistique},
    year = {2015b},
    volume = {156},
    pages = {95--119},
  }

  @InProceedings{,
    title = {Accelerating stochastic kernel SOM},
    author = {Jerome Mariette and Fabrice Rossi and Madalina Olteanu
      and Nathalie Villa-Vialaneix},
    year = {2017},
    booktitle = {Proceedings of XXVth European Symposium on Artificial
      Neural Networks, Computational Intelligence and Machine Learning
      (ESANN 2017)},
    publisher = {i6doc},
    pages = {269--274},
    editor = {Verleysen M.},
  }

  @Manual{,
    title = {SOMbrero: SOM Bound to Realize Euclidean and Relational
      Outputs},
    author = {Nathalie Vialaneix and Elise Maigne and Jerome Mariette
      and Madalina Olteanu and Fabrice Rossi and Laura Bendhaiba and
      Julien Boelaert},
    year = {2024},
    url = {https://CRAN.R-project.org/package=SOMbrero},
    note = {R package version 1.4-2 --- For new features, see the
      'NEWS'},
  }