ClusBoot: Bootstrap Clustering

Clustering algorithms are designed to cluster objects into a number of clusters. Any clustering algorithm provides the 'best' grouping of objects according to some criterion. This does not guarantee a 'good' clustering solution in the sense that some allocations were not simply the result of chance. This package allows the user to apply any clustering algorithm to a data set. The cluster allocations are subjected to a bootstrap analysis to determine the extent to which the clustering structure is stable and fundamental to the data set. For more information see <https://slubbe.wixsite.com/academic-cv/conference-presentations>.

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