What is clustering evaluation and how is it performed?

It measures how well clustering algorithms group similar data points.

Since clustering is unsupervised, evaluation relies on internal metrics like Silhouette Score, Davies-Bouldin Index, and external metrics if labels exist. Good clustering has high intra-cluster similarity and low inter-cluster similarity.