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, .
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1.1.6 by Kevin R. Coombes, 13 days ago
http://silicovore.com/OOMPA/thresher.html
Browse source code at https://github.com/cran/Thresher
Authors: Kevin R. Coombes [aut, cre]
Documentation: PDF Manual
Apache License (== 2.0) license
Imports methods, stats, graphics, grDevices, MASS, colorspace, movMF, ade4, oompaBase
Depends on ClassDiscovery, PCDimension
Suggests NbClust
Imported by FuzzySpec, SillyPutty, bootkmeans.
Depended on by Mercator.
See at CRAN