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:Yajie Duan [aut, cre], Javier Cabrera [aut], Ge Cheng [aut]

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 187 downloads 12 exports 13 dependencies

Last updated 1 years agofrom:d3af77da7a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-linuxOKNov 12 2024

Exports:cluster.predictdistwDN.WhclustDN.WkmeansDN.WpcaDNcluster.predictWhclustWkmeanswmeanWpcawsswwcss

Dependencies:clustercodetoolsdatanuggetdoSNOWforeachiteratorsRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastsnow