WeightedCluster v1.4-1

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Clustering of Weighted Data

Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting clusters of state sequences.

Functions in WeightedCluster

Name Description
as.seqtree Convert a hierarchical clustering object to a seqtree object.
wcKMedoids K-Medoids or PAM clustering of weighted data.
wcAggregateCases Aggregate identical cases.
wcCmpCluster Automatic comparison of clustering methods.
wcKMedRange Compute wcKMedoids clustering for different number of clusters.
seqclustname Automatic labeling of cluster using sequence medoids
as.clustrange Build a clustrange object to compare different clustering solutions.
seqpropclust Monothetic clustering of state sequences
wcClusterQuality Cluster quality statistics
wcSilhouetteObs Compute the silhouette of each object using weighted data.
fuzzyseqplot Plot sequences according to a fuzzy clustering.
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Vignettes of WeightedCluster

Name
WeightedCluster.Rnw
WeightedClusterFR.Rnw
WeightedClusterPreview.Rnw
manual.bib
previewhctree.png
randB.RData
seqtree.png
wardtree.png
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Details

Date 2020-07-05
SystemRequirements C++11
VignetteBuilder knitr
License GPL (>= 2)
URL http://mephisto.unige.ch/weightedcluster
NeedsCompilation yes
Packaged 2020-07-05 07:14:48 UTC; studerm
Repository CRAN
Date/Publication 2020-07-06 13:10:02 UTC

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