Monitor Changes in Cluster Solutions of Dynamic Datasets
Class Clustering
Clustering.
External Transition Candidate.
External Transition Count
Internal Transition Candidates.
Internal Transition Candidates
An S4 class that contain time steps
plot Method for output
Overlap between clusters
Overlap
Show Method for output
Monitor Transitions in Cluster Solutions.
External Transition Candidates
External Transition Count
Monitor and trace changes in clustering solutions of accumulating datasets at successive time points. The clusters can adopt External and Internal transition at succeeding time points. The External transitions comprise of Survived, Merged, Split, Disappeared, and newly Emerged candidates. In contrast, Internal transition includes changes in location and cohesion of the survived clusters. The package uses MONIC framework developed by Spiliopoulou, Ntoutsi, Theodoridis, and Schult (2006)<doi:10.1145/1150402.1150491> .