LinkCluE: A matlab package for link-based cluster ensembles

Natthakan Iam-On*, Simon Garrett

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

53 Citations (Scopus)
44 Downloads (Pure)


Cluster ensembles have emerged as a powerful meta-learning paradigm that provides improved accuracy and robustness by aggregating several input data clusterings. In particular, link-based similarity methods have recently been introduced with superior performance to the conventional co-association approach. This paper presents a MATLAB package, LinkCluE, that implements the link-based cluster ensemble framework. A variety of functional methods for evaluating clustering results, based on both internal and external criteria, are also provided. Additionally, the underlying algorithms together with the sample uses of the package with interesting real and synthetic datasets are demonstrated herein.

Original languageEnglish
Number of pages36
JournalJournal of Statistical Software
Issue number9
Publication statusPublished - 31 Aug 2010


  • Cluster ensembles
  • Cluster relation
  • Clustering
  • Link analysis
  • Pairwise similarity matrix


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