Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Natthakan Iam-on, Simon Garrett
Title: LinkCluE: A MATLAB Package for Link-Based Cluster Ensembles
Abstract: 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.

Page views:: 7057. Submitted: 2009-05-11. Published: 2010-08-31.
Paper: LinkCluE: A MATLAB Package for Link-Based Cluster Ensembles     Download PDF (Downloads: 7389)
Supplements:
LinkCluE.zip: MATLAB source package (including data) Download (Downloads: 1579; 551KB)
v36i09.m: MATLAB code for examples from the paper Download (Downloads: 1288; 2KB)

DOI: 10.18637/jss.v036.i09

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.