Man pages for WCluster
Clustering and PCA with Weights, and Data Nuggets Clustering
| cluster.predict | Predict the clusters for a new dataset. |
| distw | Distance between clusters based on Ward's method for... |
| DNcluster.predict | Predict the closest clusters for a new dataset based on... |
| DN.Whclust | Hierarchical Clustering for data nuggets |
| DN.Wkmeans | K-means Clustering for data nuggets |
| DN.Wpca | Weighted PCA for data nuggets |
| WCluster-package | Clustering and PCA with Observational Weights and/or Variable... |
| 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 |
