R: Clustering of Weighted Data

# Clustering of Weighted Data

## Documentation for package ‘WeightedCluster’ version 2.0

- 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.dtclust | 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.
bootclustrange | Cluster Quality Indices estimation by subsampling
clustassoc | Share of an association between an object (described by a dissimilarity matrix) and a covariate that is reproduced by a clustering solution.
dtcut | Monothetic clustering of state sequences
fuzzyseqplot | Plot sequences according to a fuzzy clustering.
plot.bootclustrange | Cluster Quality Indices estimation by subsampling
plot.clustassoc | Share of an association between an object (described by a dissimilarity matrix) and a covariate that is reproduced by a clustering solution.
plot.clustrange | Build a clustrange object to compare different clustering solutions.
plot.clustrangefamily | Automatic comparison of clustering methods.
plot.rarcat | Robustness Assessment of Regressions using Cluster Analysis Typologies (RARCAT)
plot.seqclararange | Plot of cluster quality of CLARA algorithm.
plot.seqnullcqi | Sequence Analysis Typologies Validation Using Parametric Bootstrap
print.bootclustrange | Cluster Quality Indices estimation by subsampling
print.clustrangefamily | Automatic comparison of clustering methods.
print.rarcat | Robustness Assessment of Regressions using Cluster Analysis Typologies (RARCAT)
print.seqnullcqi | Sequence Analysis Typologies Validation Using Parametric Bootstrap
print.wcAggregateCases | Aggregate identical cases.
rarcat | Robustness Assessment of Regressions using Cluster Analysis Typologies (RARCAT)
seqclararange | CLARA Clustering for Sequence Analysis
seqclustname | Automatic labeling of cluster using sequence medoids
seqnull | Generate nonclustered sequence data according to different null models.
seqnullcqi | Sequence Analysis Typologies Validation Using Parametric Bootstrap
seqpropclust | Monothetic clustering of state sequences
summary.clustrangefamily | Automatic comparison of clustering methods.
summary.rarcat | Robustness Assessment of Regressions using Cluster Analysis Typologies (RARCAT)
wcAggregateCases | Aggregate identical cases.
wcAggregateCases.data.frame | Aggregate identical cases.
wcAggregateCases.matrix | Aggregate identical cases.
wcAggregateCases.stslist | 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.
wcPropertyClustering | Monothetic clustering of state sequences
wcSilhouetteObs | Compute the silhouette of each object using weighted data.