Clustering and PCA with Weights, and Data Nuggets Clustering

Documentation for package ‘WCluster’ version 1.2.0

WCluster-package	Clustering and PCA with Observational Weights and/or Variable Weights, and Data Nuggets Clustering
cluster.predict	Predict the closest 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