1. Introduction to the n-TARP clustering method | 1.1 Installing the package and running the core n-TARP function | 1.1 Getting the optimal solution from the nTARP function | 1.2 Using the results of nTARP as a classifier | 1.3 Checking the clusterability of the dataset | 1.4 The last outputs of the nTARP function | 2. Extending nTARP to form multiple clusters
Package: nTARP 0.1.0
David Reeping
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.
Authors:
nTARP_0.1.0.tar.gz
nTARP_0.1.0.tar.gz(r-4.7-any)nTARP_0.1.0.tar.gz(r-4.6-any)
nTARP_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
nTARP/json (API)
| # Install 'nTARP' in R: |
| install.packages('nTARP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6499eb7184. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 169 | ||
| source / vignettes | OK | 240 | ||
| linux-release-x86_64 | OK | 170 | ||
| wasm-release | OK | 99 |
Exports:build_solution_from_labeled_clustersconsolidate_clustersnTARPnTARP_bisecting
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Combine nTARP BestCluster solutions into one table and assign stable final cluster IDs | build_solution_from_labeled_clusters |
| Merge clusters as post-processing | consolidate_clusters |
| Thresholding After Random Projections (n-TARP) Clustering | nTARP |
| Run nTARP repeatedly in a bisecting fashion | nTARP_bisecting |
| Run nTARP repeatedly in a bisecting fashion (using normalized within sum of squares) | nTARP_complete_solution_no_contextual_variable |
| Run nTARP repeatedly in a bisecting fashion (using contextual variable) | nTARP_complete_solution_with_contextual_variable |