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SOMbrero: an R package for numeric and non-numeric self-organizing maps

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Boelaert, Julien | Bendhaiba, Laura | Olteanu, Madalina | Villa-Vialaneix, Nathalie, N.

Edité par CCSD ; Springer -

International audience. This paper presents SOMbrero, a new R package for self-organizing maps. Along with the standard SOM algorithm for numeric data, it implements self-organizing maps for contingency tables ("Korresp") and for dissimilarity data ("relational SOM"), all relying on stochastic (i.e., on-line) training. It offers many graphical outputs and diagnostic tools, and comes with a user-friendly web graphical interface, based on the shiny R package.

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