Agglomerative Hierarchical Clustering With Dynamic Threshold Tuning

via “agglomerative-clustering-with-dynamic-threshold”

automatic-speech-recognition model by undefined. 22,16,403 downloads.

Unique: Uses a dynamic threshold selection heuristic that adapts to the distribution of pairwise similarities in the embedding space, avoiding manual threshold tuning while maintaining interpretability via dendrogram visualization. Supports multiple linkage methods (complete, average, ward) for different clustering behaviors.

vs others: More interpretable than k-means or spectral clustering (produces dendrogram); automatic speaker count detection vs fixed-k approaches; open-source implementation vs proprietary clustering services.