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1 comments

·November 6, 2025

ibgeek

I'm not sure if I'm understanding correctly, but it reminds me of the kernel trick. The distances between the training samples and a target sample are computed, the distances are scaled through a kernel function, and the scaled distances are used as features.

https://en.wikipedia.org/wiki/Kernel_method