WeightedCluster: Clustering of Weighted Data and Robust Clustering

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, crisp and noise CLARA algorithm to cluster large database with sequence analysis, and a methodological framework for Robustness Assessment of Regressions using Cluster Analysis Typologies.

Le manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec R WeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with R WeightedCluster Preview Robust Clustering Methods for Sequence Analysis" R Tutorials: Robustness Assessment of Regressions using Cluster Analysis Short R Tutorial: Fuzzy and Property-Based Clustering for Sequence Analysis' Short R Tutorial: Sequence Analysis Typologies for Large Databases' Short R Tutorial: Validating Sequence Analysis Typologies To be Used in Subsequent Regression' Short R Tutorial: Validating Sequence Analysis Typologies Using Parametric Bootstrap'

Vignettes Man pages API and functions Files

Package details
Author	Matthias Studer [aut, cre], Leonard Roth [ctb], Leonhard Unterlerchner [ctb]
Maintainer	Matthias Studer <matthias.studer@unige.ch>
License	GPL (>= 2)
Version	2.2
URL	https://r-forge.r-project.org/R/?group_id=743
Package repository	View on R-Forge
Installation	Install the latest version of this package by entering the following in R: `install.packages("WeightedCluster", repos="http://R-Forge.R-project.org")`