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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>.

Versions across snapshots

VersionRepositoryFileSize
1.3.0 rolling linux/jammy R-4.5 WCluster_1.3.0.tar.gz 78.1 KiB
1.3.0 rolling linux/noble R-4.5 WCluster_1.3.0.tar.gz 78.1 KiB
1.3.0 rolling source/ R- WCluster_1.3.0.tar.gz 13.4 KiB
1.3.0 latest linux/jammy R-4.5 WCluster_1.3.0.tar.gz 78.1 KiB
1.3.0 latest linux/noble R-4.5 WCluster_1.3.0.tar.gz 78.1 KiB
1.3.0 latest source/ R- WCluster_1.3.0.tar.gz 13.4 KiB
1.3.0 2026-04-26 source/ R- WCluster_1.3.0.tar.gz 13.4 KiB
1.3.0 2026-04-23 source/ R- WCluster_1.3.0.tar.gz 13.4 KiB
1.3.0 2026-04-09 windows/windows R-4.5 WCluster_1.3.0.zip 80.8 KiB
1.3.0 2025-04-20 source/ R- WCluster_1.3.0.tar.gz 13.4 KiB

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