TabSOM is a tabular-to-image encoding that places features via SOM component planes and adds a relational edge channel; it is competitive with, but not consistently superior to, existing encodings.
A comprehensive bench- mark of spatial encoding methods for tabular data with deep neural networks
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TabSOM: A tabular-to-image encoding method based on self-organizing maps
TabSOM is a tabular-to-image encoding that places features via SOM component planes and adds a relational edge channel; it is competitive with, but not consistently superior to, existing encodings.