Cluster Purity Metric

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A Cluster Purity Metric is a Performance Metric that ...



  • (Hu et al., 1999) ⇒ Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, and Xiaohua Zhou. (2009). “Exploiting Wikipedia as External Knowledge for Document Clustering.” In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557066
    • Cluster quality is evaluated by three metrics, purity [14], F-score [10], and normalized mutual information (NMI) [15]. Purity assumes that all samples of a cluster are predicted to be members of the actual dominant class for that cluster. … A merit of NMI is that it does not necessarily increase when the number of clusters increases. All the three metrics range from 0 to 1, and the higher their value, the better the clustering quality is.