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|Title: ||PSO driven collaborative clustering: a clustering algorithm for ubiquitous environments|
|Authors: ||Depaire, B.|
Falcon Martinez, R.
|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|
|Link to publication: ||http://www.ecmlpkdd2008.org/files/pdf/workshops/ubiqkd/2.pdf|
|Type: ||Conference Material|
|Appears in Collections: ||Research publications|
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