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 2021) 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

R Core Team. 2021. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.


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