Cluster Analysis Using Thresholding After Random Projections (n-TARP)

Implements the high-dimensional clustering technique Thresholding After Random Projections (n-TARP). Provides functionality to iteratively decompose larger datasets using contextual variables or within-cluster sum of squares. See Tarun & Boutin (2018) and Tarun & Boutin (2018) for the original method and applications.


Reference manual

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install.packages("nTARP")

0.1.0 by David Reeping, 7 months ago


Browse source code at https://github.com/cran/nTARP


Authors: David Reeping [aut, cre] , Yunmeng Han [aut] , Nahal Rashedi [rev]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats

Suggests knitr, rmarkdown, HDclassif


See at CRAN