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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. See Wang et al., 2018, doi:10.1186/s12859-017-1998-9.
| oompa.r-forge.r-project.org/ |
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