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: |
1.3.0 |
| Depends: |
R (≥ 3.5.0), stats, datanugget (≥ 1.2.2) |
| Imports: |
cluster |
| Published: |
2025-03-17 |
| Author: |
Rituparna Dey [aut, cre],
Yajie Duan [aut],
Javier Cabrera [aut],
Ge Cheng [aut] |
| Maintainer: |
Rituparna Dey <rituparnadey525 at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
WCluster results |
Documentation:
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