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>.

Version: 1.2.0
Depends: R (≥ 3.5.0), stats, datanugget (≥ 1.2.2)
Imports: cluster
Published: 2023-11-17
DOI: 10.32614/CRAN.package.WCluster
Author: Yajie Duan [aut, cre], Javier Cabrera [aut], Ge Cheng [aut]
Maintainer: Yajie Duan <yajieritaduan at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: WCluster results


Reference manual: WCluster.pdf


Package source: WCluster_1.2.0.tar.gz
Windows binaries: r-devel: WCluster_1.2.0.zip, r-release: WCluster_1.2.0.zip, r-oldrel: WCluster_1.2.0.zip
macOS binaries: r-release (arm64): WCluster_1.2.0.tgz, r-oldrel (arm64): WCluster_1.2.0.tgz, r-release (x86_64): WCluster_1.2.0.tgz, r-oldrel (x86_64): WCluster_1.2.0.tgz
Old sources: WCluster archive


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