Package: WCluster 1.2.0
Yajie Duan
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_1.2.0.tar.gz
WCluster_1.2.0.tar.gz(r-4.5-noble)WCluster_1.2.0.tar.gz(r-4.4-noble)
WCluster_1.2.0.tgz(r-4.4-emscripten)WCluster_1.2.0.tgz(r-4.3-emscripten)
WCluster.pdf |WCluster.html✨
WCluster/json (API)
| # Install 'WCluster' in R: |
| install.packages('WCluster', 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 1 years agofrom:d3af77da7a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 12 2024 |
| R-4.5-linux | OK | Dec 12 2024 |
Exports:cluster.predictdistwDN.WhclustDN.WkmeansDN.WpcaDNcluster.predictWhclustWkmeanswmeanWpcawsswwcss
Dependencies:clustercodetoolsdatanuggetdoSNOWforeachiteratorsRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastsnow
