Finding the "nearest matching pattern" is part of just about ANY pattern matching. The devil-of-the-detail is dealing with noise, precision-loss-for-speed, generalization (compression), tuning, etc. This attempts to break such down into staff-digestible chunks.
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Seems it has similar goals to the idea behind factor tables: https://github.com/RowColz/AI
I'm pretty sure that guy just reinvented nearest neighbor.
Finding the "nearest matching pattern" is part of just about ANY pattern matching. The devil-of-the-detail is dealing with noise, precision-loss-for-speed, generalization (compression), tuning, etc. This attempts to break such down into staff-digestible chunks.