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, 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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
2026-04-09 windows/windows R-4.5 | WeightedCluster_2.0.zip |
2.6 MiB |