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: 1.8-1 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, rmarkdown, Cairo, progress, DirichletReg, betareg Published: 2024-12-10 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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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