Post #1428109
2026-04-11 01:08 UTC
@AmenZwa
> Dim Reduction by SOMs that Preserve Distances in Output Space
That's a pretty important ability for some things.
Replies (1)
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@AmenZwa@mathstodon.xyz 2026-04-11 02:10
@dougmerritt Kohonen invented the SOM precisely for that purpose: unsupervised learning of a relations-preserving nonlinear mapping from a high-dimensional input vector space down to a 2D tonotopic map. He was inspired by how the primate auditory and visual systems perform such mappings, effortlessly. The SOM is one of those Nature-inspired, simple, elegant, efficient, practical solutions—the engineering Holy Grail. You can see why I have been fascinated with this old school AI, for more than four decades.