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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.