Contrastive learning for passive acoustic monitoring: A framework for sound source discovery and cross-site comparison in marine soundscapes
Table 7
Silhouette and Calinski–Harabasz (CH) scores for different clustering algorithms applied to PAM-SimCLR embeddings at k = 60. Higher values indicate better clustering performance.