Really depends on your data and what clustering you want. There isn't one "best" clustering algo. Sometimes you really DO want partitioning, and KMeans works be

Really depends on your data and what clustering you want. There isn't one "best" clustering algo. Sometimes you really DO want partitioning, and KMeans works better. Sometimes it's agglomerative for connecting thin threads. What I've found is that HDBScan is too conservative in clusters. It's usually just running the data through numerous models and seeing which are the most stable after parameter tuning, and what is usable by marketing.