Jeremy B. Brown

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The behavior and self-organization of ant colonies provides a promising model to address distributed clustering. However, most ant-based clustering approaches suffer from inefficiencies due to large numbers of unproductive ant movements and inefficient cluster merging, leading them to produce too many clusters and to converge too slowly. To address these(More)
The behavior and self-organization of ant colonies has been widely studied to address distributed clustering. However, most models that directly mimic ants produce too many clusters and converge too slowly. A wide range of research has attempted to address this through various means, but a number of sources of inefficiency remain, including: i) ants must(More)
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