Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out.

Chi-square scores from affinity propagation clustering were highly significant (p < 0.001) for all three embedding types across each dataset ( Table 2 ), indicating the clustering algorithm was able to non-randomly assign recorders to clusters that corresponded to habitat or site classes in every case.

also in 132,142 other papers