# Clustering of Weighted Data

## Documentation for package ‘WeightedCluster’ version 1.2-1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

as.clustrange | Build a clustrange object to compare different clustering solutions.
as.clustrange.hclust | Build a clustrange object to compare different clustering solutions.
as.clustrange.twins | Build a clustrange object to compare different clustering solutions.
as.seqtree | Convert a hierarchical clustering object to a seqtree object.
as.seqtree.hclust | Convert a hierarchical clustering object to a seqtree object.
as.seqtree.twins | Convert a hierarchical clustering object to a seqtree object.
plot.clustrange | Build a clustrange object to compare different clustering solutions.
plot.clustrangefamily | Automatic comparison of clustering methods.
print.clustrangefamily | Automatic comparison of clustering methods.
print.wcAggregateCases | Aggregate identical cases.
seqclustname | Automatic labeling of cluster using sequence medoids
summary.clustrangefamily | Automatic comparison of clustering methods.
wcAggregateCases | Aggregate identical cases.
wcAggregateCases.data.frame | Aggregate identical cases.
wcAggregateCases.matrix | Aggregate identical cases.
wcClusterQuality | Cluster quality statistics
wcCmpCluster | Automatic comparison of clustering methods.
wcKMedoids | K-Medoids or PAM clustering of weighted data.
wcKMedRange | Compute 'wcKMedoids' clustering for different number of clusters.
wcSilhouetteObs | Compute the silhouette of each object using weighted data.