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clusTransition (version 1.0)

Monitor Changes in Cluster Solutions of Dynamic Datasets

Description

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) .

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Version

Install

install.packages('clusTransition')

Monthly Downloads

161

Version

1.0

License

GPL-3

Maintainer

Muhammad Atif

Last Published

February 22nd, 2021

Functions in clusTransition (1.0)

Clusters

Clustering.
TransitionCount-class

External Transition Count
extTransitionCount

External Transition Count
extTransitionCan

External Transition Candidate.
intTransitionCan-class

Internal Transition Candidates
internalTransition

Internal Transition Candidates.
show,Monic-method

Show Method for output
moplot

plot Method for output
OverLap-class

Overlap between clusters
Transition

Monitor Transitions in Cluster Solutions.
Data2D

Synthetic Datasets (Two Dimensional)
Monic

An S4 class that contain time steps
TransitionCan-class

External Transition Candidates
Clustering-class

Class Clustering
Overlap

Overlap
Data3D

Synthetic Datasets (Three Dimensional)