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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 nTARP_0.1.0.tar.gz 1.4 MiB
0.1.0 rolling linux/noble R-4.5 nTARP_0.1.0.tar.gz 1.4 MiB
0.1.0 rolling source/ R- nTARP_0.1.0.tar.gz 2.3 MiB
0.1.0 latest linux/jammy R-4.5 nTARP_0.1.0.tar.gz 1.4 MiB
0.1.0 latest linux/noble R-4.5 nTARP_0.1.0.tar.gz 1.4 MiB
0.1.0 latest source/ R- nTARP_0.1.0.tar.gz 2.3 MiB
0.1.0 2026-04-26 source/ R- nTARP_0.1.0.tar.gz 2.3 MiB
0.1.0 2026-04-23 source/ R- nTARP_0.1.0.tar.gz 2.3 MiB
0.1.0 2026-04-09 windows/windows R-4.5 nTARP_0.1.0.zip 1.4 MiB

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