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, sequence analysis typology validation using parametric bootstraps and plotting (fuzzy) clusters of state sequences. It further provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis, and a methodological framework for Robustness Assessment of Regressions using Cluster Analysis Typologies (RARCAT).


Reference manual

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install.packages("WeightedCluster")

2.0 by Matthias Studer, 10 months ago


http://mephisto.unige.ch/weightedcluster/


Browse source code at https://github.com/cran/WeightedCluster


Authors: Matthias Studer [aut, cre] , Leonard Roth [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports utils, RColorBrewer, foreach, progressr, future, doFuture, nnet, fastcluster, vegclust, lme4, margins

Depends on TraMineR, cluster

Suggests RUnit, knitr, isotone, vegan, lattice, rmarkdown, Cairo, progress, DirichletReg, betareg, fpc


Imported by MCseqReplic, MEDseq, dTBM.

Depended on by ClusterStability.

Suggested by SuperCell, TraMineR, seqhandbook.


See at CRAN