I think "prediction" is a redundant term,  any representation is some kind of 
prediction. 
"Shared property": I meant initially shared between two compared 
representations, and only later aggregated into higher-level shared property, 
within a cluster defined by one-to-one matches. 

Vs. summing properties within randomly-defined samples and then sorting it out 
through feedback, via some kind of centroid-based clustering.
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