Clustering by flocking

An Adaptive Flocking Algorithm for Performing Approximate Clustering
This paper presents an approach based on an adaptive bio-inspired method to
make state of the art clustering algorithms scalable and to provide them with an anytime behavior. ... 
The flocking algorithm provides a model of decentralized adaptive organization useful to solve complex optimization, classification and distributed control problems.
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A flocking based algorithm for document clustering analysis
Social animals or insects in nature often exhibit a form of emergent collective behavior known as  focking. In this paper, we present a novel Flocking based approach for document clustering analysis. Our Flocking clustering algorithm uses stochastic and heuristic principles discovered from observing bird flocks or fish schools. Unlike other partition clustering algorithm such as K-means, the Flocking based algorithm does not require initial partitional seeds.
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