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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>.
Getting started
Browse package contents
Package details |
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| Author | Rituparna Dey [aut, cre], Yajie Duan [aut], Javier Cabrera [aut], Ge Cheng [aut] |
| Maintainer | Rituparna Dey <rituparnadey525@gmail.com> |
| License | GPL-2 |
| Version | 1.3.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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