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WeightedCluster: 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 (fuzzy) clusters of state sequences. Parametric bootstraps methods to validate typology of sequences are also provided. Finally, it provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis.

Version: 1.8-0
Depends: R (≥ 3.0.0), TraMineR (≥ 2.0-6), cluster
Imports: utils, RColorBrewer, foreach, progressr, future, doFuture, nnet, fastcluster, vegclust
Suggests: RUnit, knitr, isotone, vegan, lattice, progress
Published: 2024-10-02
DOI: 10.32614/CRAN.package.WeightedCluster
Author: Matthias Studer [aut, cre]
Maintainer: Matthias Studer <matthias.studer at unige.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://mephisto.unige.ch/weightedcluster/
NeedsCompilation: yes
Citation: WeightedCluster citation info
Materials: NEWS
CRAN checks: WeightedCluster results

Documentation:

Reference manual: WeightedCluster.pdf
Vignettes: WeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with R (source, R code)
Le manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec R (source, R code)
WeightedCluster Preview (source, R code)

Downloads:

Package source: WeightedCluster_1.8-0.tar.gz
Windows binaries: r-devel: WeightedCluster_1.8-0.zip, r-release: WeightedCluster_1.8-0.zip, r-oldrel: WeightedCluster_1.8-0.zip
macOS binaries: r-release (arm64): WeightedCluster_1.8-0.tgz, r-oldrel (arm64): WeightedCluster_1.8-0.tgz, r-release (x86_64): WeightedCluster_1.8-0.tgz, r-oldrel (x86_64): WeightedCluster_1.8-0.tgz
Old sources: WeightedCluster archive

Reverse dependencies:

Reverse depends: ClusterStability
Reverse imports: dTBM, MEDseq, SuperCell
Reverse suggests: seqhandbook, TraMineR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=WeightedCluster to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.