Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-07695-9_21 | ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION |
Keywords | Field | DocType |
Self-Organizing Maps,R,Dissimilarity,Korresp | Data mining,Computer graphics (images),Computer science,Self-organizing map,Contingency table,Graphical user interface,Diagnostic tools,R package | Conference |
Volume | ISSN | Citations |
295 | 2194-5357 | 2 |
PageRank | References | Authors |
0.39 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julien Boelaert | 1 | 2 | 0.73 |
| Laura Bendhaiba | 2 | 2 | 0.39 |
| Madalina Olteanu | 3 | 68 | 10.50 |
| Nathalie Villa-Vialaneix | 4 | 72 | 10.94 |