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.
- Version1.8-0
- R version≥ 3.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- WeightedCluster citation info
- Last release10/02/2024
Documentation
- VignetteWeightedCluster Library Manual: A practical guide to creating typologies of trajectories in the social sciences with R
- Vignettesource
- VignetteR code
- VignetteLe manuel de la librairie WeightedCluster: un guide pratique pour la creation de typologies de trajectoires en sciences sociales avec R
- Vignettesource
- VignetteR code
- VignetteWeightedCluster Preview
- Vignettesource
- VignetteR code
- MaterialNEWS
Team
Matthias Studer
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- Depends3 packages
- Imports9 packages
- Suggests6 packages
- Reverse Depends1 package
- Reverse Imports3 packages
- Reverse Suggests2 packages