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Module som

qualia_core_db::solvers::learning::dimensionality

Module som 

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Self-Organizing Map (CI-SKM ch 3) — a topology-preserving projection of a high-dimensional space onto a 2-D grid of neurons. Nearby inputs map to nearby grid cells, so it lays out a semantic space for the 10D→5D relevance router (complementing PCA: SOM preserves neighbourhood topology, not just variance). Kernel-class AllPairs (the best-matching-unit search). Deterministic per seed.

Structs§

Som
A trained self-organizing map: a grid_w × grid_h lattice of dim-vectors.