Package: WCluster 1.3.0
WCluster: Clustering and PCA with Weights, and Data Nuggets Clustering
K-means clustering, hierarchical clustering, and PCA with observational weights and/or variable weights. It also includes the corresponding functions for data nuggets which serve as representative samples of large datasets. Cherasia et al., (2022) <doi:10.1007/978-3-031-22687-8_20>. Amaratunga et al., (2009) <doi:10.1002/9780470317129>.
Authors:
WCluster_1.3.0.tar.gz
WCluster_1.3.0.zip(r-4.7)WCluster_1.3.0.zip(r-4.6)WCluster_1.3.0.zip(r-4.5)
WCluster_1.3.0.tgz(r-4.6-any)WCluster_1.3.0.tgz(r-4.5-any)
WCluster_1.3.0.tar.gz(r-4.7-any)WCluster_1.3.0.tar.gz(r-4.6-any)
WCluster_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
WCluster/json (API)
| # Install 'WCluster' in R: |
| install.packages('WCluster', repos = c('https://ritde-art.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:483f740cb9. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 150 | ||
| source / vignettes | OK | 162 | ||
| linux-release-x86_64 | OK | 126 | ||
| macos-release-arm64 | OK | 114 | ||
| macos-oldrel-arm64 | OK | 97 | ||
| windows-devel | OK | 85 | ||
| windows-release | OK | 92 | ||
| windows-oldrel | OK | 72 | ||
| wasm-release | OK | 92 |
Exports:cluster.predictdistwDN.WhclustDN.WkmeansDN.WpcaDNcluster.predictWhclustWkmeanswmeanWpcawsswwcss
Dependencies:clustercodetoolsdatanuggetdoSNOWforeachiteratorsRcppRcppArmadilloRcppParallelRfastsnowzigg
