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 all top 5 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) Citations by Year