Self-Organising Maps. https://github.com/mhwombat/som#readme
|Latest on Hackage:||9.0.4|
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A Kohonen Self-organising Map (SOM) maps input patterns onto a regular grid (usually two-dimensional) where each node in the grid is a model of the input data, and does so using a method which ensures that any topological relationships within the input data are also represented in the grid. This implementation supports the use of non-numeric patterns.
In layman's terms, a SOM can be useful when you you want to discover the underlying structure of some data.
The userguide is available at https://github.com/mhwombat/som/wiki.