Reading about autoencoding in this article linked from this forum post being a form of unsupervised learning, triggered a memory from 1990s where I had a brief undergrad experience writing code for a Kohonen Self-Organizing Map:
- Kohonen Self-Organizing Maps. A special type of Artificial Neural… | by Eklavya | Towards Data Science
- Self-organizing map - Wikipedia
I’m wondering how Kohonen maps specifially and SOMs in general fit into the current machine learning ecosystem?
i.e. is it still relevant? or has evolved into something else? or does DL provide an equivalent or superset behaviour?