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>.
|Author||Kevin R. Coombes|
|Maintainer||Kevin R. Coombes <[email protected]>|
|License||Apache License (== 2.0)|
|Package repository||View on CRAN|
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