To cite the R package SOMbrero in publications use:

1. 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.

1. 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.

1. 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.

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

1. 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.

1. 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'},
  }