| WCluster-package {WCluster} | R Documentation |
Clustering and PCA with Observational Weights and/or Variable Weights, and Data Nuggets Clustering
Description
This package contains functions for 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.
Author(s)
Yajie Duan, Javier Cabrera, Ge Cheng
References
Amaratunga, D., & Cabrera, J. (2009). Exploration and analysis of DNA microarray and protein array data. John Wiley & Sons (Vol. 605).
Cherasia, K. E., Cabrera, J., Fernholz, L. T., & Fernholz, R. (2022). Data Nuggets in Supervised Learning. In Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler (pp. 429-449). Cham: Springer International Publishing.
Beavers, T., Cheng, G., Duan, Y., Cabrera, J., Lubomirski, M., Amaratunga, D., Teigler, J. (2023). Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure (Submitted for Publication)
See Also
datanugget-package, Wkmeans, Whclust, Wpca, DN.Wkmeans