KMeans (4 clusters): Very crude, forces the clusters.

Old HDBSCAN (57 clusters): Too much detail, hard to explain.

GMM (30 clusters): Good balance, probabilistic clusters.

HDBSCAN (31 clusters): Large, clear, and meaningful groups. High noise, but fair, it only captures what’s truly atypical.