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nTARP: 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) <doi:10.48550/arXiv.1806.05297> and Tarun & Boutin (2018) <doi:10.4231/R74B2ZJV> for the original method and applications.
Getting started
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Package details |
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| Author | David Reeping [aut, cre], Yunmeng Han [aut], Nahal Rashedi [rev] |
| Maintainer | David Reeping <reepindp@ucmail.uc.edu> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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