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Evaluates clusterability testing methods in datasets, suggesting effective clustering analysis approaches.
Despite the ubiquity of cluster analysis, not all data consists of multiple natural clusters, and thus clustering is not always pertinent. Testing for clusterability – the degree to which a dataset includes intrinsic cluster structure – can inform whether clustering techniques should be applied. Clusterability evaluation is complicated by the inherently ambiguous nature of clustering and dependence on the clustering requirements of the underlying application. We present the first comprehensive clusterability package, which implements clusterability tests in R. Diverse clusterability tests enable users to select a technique for their specific needs. Detailed installation instructions, examples and R code are included.
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Neville et al. (2026) studied this question.
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