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,
|Author||Kevin R. Coombes|
|Date of publication||2018-10-05 16:45:22|
|Maintainer||Kevin R. Coombes <[email protected]>|
|License||Apache License (== 2.0)|
|Package repository||View on R-Forge|
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