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) . Amaratunga et al., (2009) .


Reference manual

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install.packages("WCluster")

1.3.0 by Rituparna Dey, 2 years ago


Browse source code at https://github.com/cran/WCluster


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


Documentation:   PDF Manual  


GPL-2 license


Imports cluster

Depends on stats, datanugget


Suggested by MosaiClusteR.


See at CRAN