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Well, my old VCS gun uses anti-aliasing, meaning data is logged to neighbor segment weighted based on data point distance. This way it really works like knn (actually, more like range search), and by weight of attributes, I mean how many slices, since the more slice it has, the more it is sensitive to difference of that attribute. So my VCS weight is just analog to knn weight.

I also have an old multi-buffered VCS gun (no anti-alias), like what you guessed. This way attributes are weighted on both how many slices, and how often it appears.

Note that I always weight buffers equally. And buffers are normalized (so it feels like probability) before accumulating.