SOMbrero: an R package for numeric and non-numeric Self-Organizing Maps

Abstract : 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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https://hal.archives-ouvertes.fr/hal-01018732
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Submitted on : Friday, July 4, 2014 - 6:40:18 PM
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Julien Boelaert, Laura Bendhaiba, Madalina Olteanu, Nathalie Vialaneix. SOMbrero: an R package for numeric and non-numeric Self-Organizing Maps. 10th International Workshop, WSOM 2014, Jul 2014, Mittweida, Germany. pp.219-228. ⟨hal-01018732⟩

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