Estimating the Number of Clusters via Normalized Cluster Instability

26 Aug 2016Jonas M. B. HaslbeckDirk U. Wulff

We improve current instability-based methods for the selection of the number of clusters $k$ in cluster analysis by developing a normalized cluster instability measure that corrects for the distribution of cluster sizes, a previously unaccounted driver of cluster instability. We show that our normalized instability measure outperforms current instability-based measures across the whole sequence of possible $k$ and especially overcomes limitations in the context of large $k$... (read more)

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