Various Clustering techniques make different assumptions around the structure in the data, often described by some similarity metric and evaluated, as an example, by inside compactness, or even the similarity concerning members of a similar cluster, and separation, the difference between clusters. Other techniques are depending on estimated density and https://mahavet.org/2026/01/the-smart-trick-of-learn-python-pdf-that-nobody-is-discussing/