19 Cluster Analysis
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20211122 Cluster analysis (or clustering) is widely used in data mining to identify groups of similar data. It is well supported in R (R Core Team 2026) with many packages available for preparing for cluster analysis, identifying a good number of clusters, performing a clustering, evaluating the clustering, and assigning new observations to the clustering. A variety of cluster analysis algorithms are available, each generating a cluster label for each observation, as the representation of the clustering. The measure of performance often involves measuring the distances of points withion a cluster and between clusters.
See the MLHub Survival Guide chapter on k-means and the MLHub ready to run package.
References
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