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)

Peer review:

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

12 exports 0.00 score 13 dependencies 225 downloads

Last updated 10 months agofrom:d3af77da7a. Checks:OK: 2. Indexed: yes.

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

Dependencies:clustercodetoolsdatanuggetdoSNOWforeachiteratorsRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastsnow