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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9561

Title: PSO driven collaborative clustering: a clustering algorithm for ubiquitous environments
Authors: Depaire, B.
Falcon Martinez, R.
Vanhoof, K.
Wets, G.
Issue Date: 2008
Citation: First Ubiquitous Knowledge Discovery Workshop (UKD2008), Antwerp (Belgium), 19 September 2008.
Abstract: The goal of this article is to introduce two existing clustering approaches into the domain of ubiquitous knowledge discovery. First we demonstrate how horizontal collaborative clustering can be performed in a ubiquitous environment and discuss the ability of these two clustering techniques to cope with privacy constraints. Next, we illustrate how a particle swarm optimization driven version of this clustering algorithm can be used in KDUbiq research and we introduce a ¯tness functions whose objective is to ¯nd similar cluster composition across data locations. Finally, we run an experiment which shows the potential of PSO driven collaborative clustering in a ubiquitous environment with privacy issues
URI: http://hdl.handle.net/1942/9561
Link to publication: http://www.ecmlpkdd2008.org/files/pdf/workshops/ubiqkd/2.pdf
Category: C2
Type: Conference Material
Appears in Collections: Research publications

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