coherence of clusters

Clustering algorithms are usually a form of unsupervised learning possibly with cluster labels attached post-hoc. However, each algorithm implicitly or explicitly has an idea of a 'good' cluster, such as a small distance between items and the centre, or no obvious sub-clusters. For clustering of text documents, there is often a desire to have clusters that are meaningful for humans, and various specialised coherence scores have been proposed for this.