The Thresher package defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering.
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Standard usage is to apply the
Thresher function to a data set in
order to estimate the princiapl component dimension and identifty
outliers. You then apply the
Reaper function to actually remove the
outliers and asssign the remaining objects to clusters.
Kevin R. Coombes and Min Wang
Maintainer: <[email protected]>
Submitted to some jounral.
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