## SOMbrero

swMATH ID: | 14935 |

Software Authors: | Olteanu, Madalina; Villa-Vialaneix, Nathalie |

Description: | Using SOMbrero for clustering and visualizing graphs. Graphs have attracted a burst of attention in the last years, with applications to social science, biology, computer sciencedots. In the present paper, we illustrate how self-organizing maps (SOM) can be used to enlighten the structure of the graph, performing clustering of the graph together with visualization of a simplified graph. In particular, we present the R package SOMbrero which implements a stochastic version of the so-called relational algorithm: the method is able to process any dissimilarity data and several dissimilarities adapted to graphs are described and compared. The use of the package is illustrated on two real-world datasets: one, included in the package itself, is small enough to allow for a full investigation of the influence of the choice of a dissimilarity to measure the proximity between the vertices on the results. The other example comes from an application in biology and is based on a large bipartite graph of chemical reactions with several thousands vertices. |

Homepage: | https://cran.r-project.org/web/packages/SOMbrero/index.html |

Source Code: | https://github.com/cran/SOMbrero |

Dependencies: | R |

Keywords: | graph; R package; self-organizing map; clustering; visualization |

Related Software: | FastPCS; dobin; outselect; mvBACON; mbgraphic; IsolationForest; tidytext; LOF; gridExtra; pROC; DMwR; igraph; ggplot2; yasomi; GraphBase; R |

Cited in: | 3 Documents |

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### Cited by 6 Authors

2 | Olteanu, Madalina |

2 | Villa-Vialaneix, Nathalie |

1 | Cottrell, Marie |

1 | Hyndman, Rob J. |

1 | Kandanaarachchi, Sevvandi |

1 | Rossi, Fabrice |

### Cited in 3 Serials

1 | Revista Investigación Operacional |

1 | Journal of Computational and Graphical Statistics |

1 | Journal de la Société Française de Statistique |

### Cited in 2 Fields

3 | Statistics (62-XX) |

1 | Computer science (68-XX) |