aweSOM is an R package offering a set of tools to explore and analyze datasets with Self-Organizing Maps (also known as Kohonen maps), a form of artificial neural network originally created by Teuvo Kohonen in the 1980s. The package introduces interactive plots, making analysis of the SOM easier.
aweSOM provides a variety of functions to analyze and visualize SOMs.
These can be used either through the web-based interface (called by
aweSOM()
) or through command-line functions. The package relies on the
kohonen
package for the training of SOMs.
Install the developer version of aweSOM from Github using the devtools package
devtools::install_github("jansodoge/awesom_dev_version")
An intuitive and user-friendly approach to training and analyzing datasets with self-organizing maps is enabled by the aweSOM web-based interface. It allows the user to import data, train a SOM, analyze via the interactive visualizations and download results. Plots can be exported as interactive versions (HTML format), or static image files (.png or.svg). Additionally, it creates replicable R-code to perform the operations using command-line functions of aweSOM.
The web-based interface can be launched using the following function.
aweSOM::aweSOM()
The aweSOM package provides command-line functions that enable functionality similar to the web-based interface. Detailed documentation of the command-line functions and their usage within a typical workflow is described here.
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