Semantic-space STNs, built by Hamming clustering of prediction vectors, recover algorithm differences and show denser, more centralized graphs under real labels than under shuffled labels.
In: Richter, H., Engelbrecht, A
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Semantic Space Search Trajectory Networks
Semantic-space STNs, built by Hamming clustering of prediction vectors, recover algorithm differences and show denser, more centralized graphs under real labels than under shuffled labels.