coherence of clusters

Clustering algorithms are usually a form of unsupervised learning possibly with cluster labels attached post-hoc. However, each implicitly or explcitly 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 dcuemnts, teher is often a desire to have clusters that are meaningful for humans, and various specialised coherence scores have been proposed for this.

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