R: Clustering and PCA with Weights, and Data Nuggets Clustering

# Clustering and PCA with Weights, and Data Nuggets Clustering

## Documentation for package ‘WCluster’ version 1.3.0

- DESCRIPTION file

## Help Pages

WCluster-package | Clustering and PCA with Observational Weights and/or Variable Weights, and Data Nuggets Clustering
cluster.predict | Predict the clusters for a new dataset.
distw | Distance between clusters based on Ward's method for observations with weights
DN.Whclust | Hierarchical Clustering for data nuggets
DN.Wkmeans | K-means Clustering for data nuggets
DN.Wpca | Weighted PCA for data nuggets
DNcluster.predict | Predict the closest clusters for a new dataset based on clusters of data nuggets.
Whclust | Hierarchical Clustering with observational weights
Wkmeans | K-means Clustering with observational weights
wmean | Cluster Centers for observations with weights
Wpca | Weighted PCA
wss | Sums of squares of residuals for observations with weights
wwcss | Weighted Within Cluster Sum of Squares